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Systematic Literature Review: Advancements in Skin Cancer Diagnosis Using Convolutional Neural Networks and Dermatoscopic Imaging
This study conducts a systematic literature review (SLR) to analyze the application of CNN in automated diagnostic systems for skin cancer using dermatoscopic images. The review examines methods, architectures, and datasets used in recent studies, focusing on their accuracy, efficiency, and limitations. It highlights the adoption of models such as GoogLeNet, ResNet-50, and YOLOv8, which have achieved accuracy levels exceeding 90%, demonstrating the capability of CNNs in distinguishing between benign and malignant lesions. The findings reveal that while CNNs offer high precision and recall, challenges remain in terms of overfitting, dataset diversity, and computational cost. This study underscores the need for larger and more balanced datasets, advanced augmentation techniques, and optimized architectures to enhance model generalizability. The research aims to contribute to the development of robust, efficient, and accessible AI-based diagnostic tools for early skin cancer detection, improving clinical decision-making and patient care.
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systematic literature review advancements in skin cancer diagnosis using convolutional neural networks and dermatoscopic imaging this study conducts a systematic literature review slr to analyze the application of cnn in automated diagnostic systems for skin cancer using dermatoscopic images the review examines methods architectures and datasets used in recent studies focusing on their accuracy efficiency and limitations it highlights the adoption of models such as googlenet resnet 50 and yolov8 which have achieved accuracy levels exceeding 90 demonstrating the capability of cnns in distinguishing between benign and malignant lesions the findings reveal that while cnns offer high precision and recall challenges remain in terms of overfitting dataset diversity and computational cost this study underscores the need for larger and more balanced datasets advanced augmentation techniques and optimized architectures to enhance model generalizability the research aims to contribute to the development of robust efficient and accessible ai based diagnostic tools for early skin cancer detection improving clinical decision making and patient care
Jaro Winkler
| Word | TW | HV | Detail |
|---|---|---|---|
| 1. aaa | 114 words | 0.8 | systematic : 0.48, literature : 0.48, review : 0, advancements : 0.65, in : 0, skin : 0, cancer : 0.5, diagnosis : 0.48, using : 0, convolutional : 0, neural : 0.5, networks : 0, and : 0.6, dermatoscopic : 0.47, imaging : 0.49, this : 0, study : 0, conducts : 0, a : 0.8, slr : 0, to : 0, analyze : 0.69, the : 0, application : 0.65, of : 0, cnn : 0, automated : 0.67, diagnostic : 0.48, systems : 0, for : 0, images : 0.5, examines : 0.49, methods : 0, architectures : 0.52, datasets : 0.64, used : 0, recent : 0, studies : 0, focusing : 0, on : 0, their : 0, accuracy : 0.67, efficiency : 0, limitations : 0.47, it : 0, highlights : 0, adoption : 0.54, models : 0, such : 0, as : 0.65, googlenet : 0, resnet : 0, 50 : 0, yolov8 : 0, which : 0, have : 0.53, achieved : 0.54, levels : 0, exceeding : 0, 90 : 0, demonstrating : 0, capability : 0.62, cnns : 0, distinguishing : 0, between : 0, benign : 0, malignant : 0.48, lesions : 0, findings : 0, reveal : 0.5, that : 0.53, while : 0, offer : 0, high : 0, precision : 0, recall : 0.5, challenges : 0.48, remain : 0.5, terms : 0, overfitting : 0, dataset : 0.65, diversity : 0, computational : 0.47, cost : 0, underscores : 0, need : 0, larger : 0.5, more : 0, balanced : 0.64, advanced : 0.67, augmentation : 0.65, techniques : 0, optimized : 0, enhance : 0.49, model : 0, generalizability : 0.6, research : 0.49, aims : 0.58, contribute : 0, development : 0, robust : 0, efficient : 0, accessible : 0.53, ai : 0.65, based : 0.51, tools : 0, early : 0.51, detection : 0, improving : 0, clinical : 0, decision : 0, making : 0.5, patient : 0.49, care : 0.53 |
| 2. php | 114 words | 0.62 | systematic : 0, literature : 0, review : 0, advancements : 0, in : 0, skin : 0, cancer : 0, diagnosis : 0, using : 0, convolutional : 0, neural : 0, networks : 0, and : 0, dermatoscopic : 0, imaging : 0, this : 0.53, study : 0, conducts : 0, a : 0, slr : 0, to : 0, analyze : 0, the : 0.56, application : 0.62, of : 0, cnn : 0, automated : 0, diagnostic : 0, systems : 0, for : 0, images : 0, examines : 0, methods : 0.49, architectures : 0.47, datasets : 0, used : 0, recent : 0, studies : 0, focusing : 0, on : 0, their : 0.51, accuracy : 0, efficiency : 0, limitations : 0, it : 0, highlights : 0.48, adoption : 0.49, models : 0, such : 0, as : 0, googlenet : 0, resnet : 0, 50 : 0, yolov8 : 0, which : 0.51, have : 0.53, achieved : 0.49, levels : 0, exceeding : 0, 90 : 0, demonstrating : 0, capability : 0.48, cnns : 0, distinguishing : 0, between : 0, benign : 0, malignant : 0, lesions : 0, findings : 0, reveal : 0, that : 0.53, while : 0.51, offer : 0, high : 0.53, precision : 0.53, recall : 0, challenges : 0.48, remain : 0, terms : 0, overfitting : 0, dataset : 0, diversity : 0, computational : 0.47, cost : 0, underscores : 0, need : 0, larger : 0, more : 0, balanced : 0, advanced : 0, augmentation : 0, techniques : 0.48, optimized : 0.48, enhance : 0.49, model : 0, generalizability : 0, research : 0, aims : 0, contribute : 0, development : 0.47, robust : 0, efficient : 0, accessible : 0, ai : 0, based : 0, tools : 0, early : 0, detection : 0, improving : 0.48, clinical : 0, decision : 0, making : 0, patient : 0.54, care : 0 |
| 3. defined | 114 words | 0.75 | systematic : 0.41, literature : 0.47, review : 0.64, advancements : 0.55, in : 0, skin : 0.6, cancer : 0.54, diagnosis : 0.63, using : 0.56, convolutional : 0.31, neural : 0.44, networks : 0.42, and : 0.49, dermatoscopic : 0.58, imaging : 0.52, this : 0.46, study : 0, conducts : 0.35, a : 0, slr : 0, to : 0, analyze : 0.43, the : 0.49, application : 0.41, of : 0.55, cnn : 0.49, automated : 0.5, diagnostic : 0.62, systems : 0.43, for : 0.49, images : 0.44, examines : 0.69, methods : 0.52, architectures : 0.31, datasets : 0.56, used : 0.46, recent : 0.53, studies : 0.52, focusing : 0.6, on : 0, their : 0.56, accuracy : 0, efficiency : 0.67, limitations : 0.41, it : 0, highlights : 0.41, adoption : 0.6, models : 0.54, such : 0, as : 0, googlenet : 0.34, resnet : 0.64, 50 : 0, yolov8 : 0, which : 0.45, have : 0.46, achieved : 0.61, levels : 0.54, exceeding : 0.62, 90 : 0, demonstrating : 0.64, capability : 0.41, cnns : 0.46, distinguishing : 0.59, between : 0.51, benign : 0.53, malignant : 0.5, lesions : 0.62, findings : 0.52, reveal : 0.54, that : 0, while : 0.56, offer : 0.4, high : 0.46, precision : 0.5, recall : 0.44, challenges : 0.58, remain : 0.64, terms : 0.45, overfitting : 0.57, dataset : 0.57, diversity : 0.53, computational : 0.41, cost : 0, underscores : 0.52, need : 0.46, larger : 0.44, more : 0.46, balanced : 0.6, advanced : 0.69, augmentation : 0.48, techniques : 0.57, optimized : 0.59, enhance : 0.62, model : 0.56, generalizability : 0.48, research : 0.51, aims : 0.46, contribute : 0.47, development : 0.65, robust : 0, efficient : 0.69, accessible : 0.58, ai : 0.55, based : 0.56, tools : 0, early : 0.45, detection : 0.67, improving : 0.5, clinical : 0.51, decision : 0.75, making : 0.54, patient : 0.51, care : 0.46 |
| 4. basepath | 114 words | 0.86 | systematic : 0.51, literature : 0.45, review : 0.43, advancements : 0.53, in : 0, skin : 0.46, cancer : 0.53, diagnosis : 0.41, using : 0.44, convolutional : 0.4, neural : 0.36, networks : 0.42, and : 0.49, dermatoscopic : 0.44, imaging : 0.42, this : 0.46, study : 0.44, conducts : 0.42, a : 0.71, slr : 0.49, to : 0, analyze : 0.49, the : 0.49, application : 0.62, of : 0, cnn : 0, automated : 0.57, diagnostic : 0.56, systems : 0.49, for : 0, images : 0.51, examines : 0.33, methods : 0.42, architectures : 0.52, datasets : 0.65, used : 0.58, recent : 0.53, studies : 0.51, focusing : 0.42, on : 0, their : 0.44, accuracy : 0.5, efficiency : 0.41, limitations : 0.31, it : 0, highlights : 0.32, adoption : 0.58, models : 0.36, such : 0.46, as : 0.75, googlenet : 0.49, resnet : 0.51, 50 : 0, yolov8 : 0, which : 0.44, have : 0.58, achieved : 0.5, levels : 0.36, exceeding : 0.41, 90 : 0, demonstrating : 0.44, capability : 0.58, cnns : 0.46, distinguishing : 0.53, between : 0.56, benign : 0.58, malignant : 0.57, lesions : 0.35, findings : 0, reveal : 0.36, that : 0.58, while : 0.44, offer : 0.44, high : 0, precision : 0.32, recall : 0.36, challenges : 0.48, remain : 0.36, terms : 0.38, overfitting : 0.48, dataset : 0.68, diversity : 0.46, computational : 0.37, cost : 0.58, underscores : 0.31, need : 0.46, larger : 0.53, more : 0.46, balanced : 0.67, advanced : 0.47, augmentation : 0.53, techniques : 0.48, optimized : 0.41, enhance : 0.35, model : 0.44, generalizability : 0.41, research : 0.58, aims : 0.58, contribute : 0.41, development : 0.55, robust : 0.63, efficient : 0.49, accessible : 0.45, ai : 0.54, based : 0.86, tools : 0.44, early : 0.38, detection : 0.49, improving : 0.41, clinical : 0.42, decision : 0.33, making : 0.43, patient : 0.6, care : 0.58 |
| 5. or | 114 words | 0.83 | systematic : 0, literature : 0.53, review : 0.56, advancements : 0, in : 0, skin : 0, cancer : 0, diagnosis : 0, using : 0, convolutional : 0.53, neural : 0.56, networks : 0, and : 0, dermatoscopic : 0.53, imaging : 0, this : 0, study : 0, conducts : 0.54, a : 0, slr : 0, to : 0, analyze : 0, the : 0, application : 0, of : 0.7, cnn : 0, automated : 0.54, diagnostic : 0, systems : 0, for : 0, images : 0, examines : 0, methods : 0, architectures : 0.53, datasets : 0, used : 0, recent : 0.56, studies : 0, focusing : 0.54, on : 0.7, their : 0, accuracy : 0.54, efficiency : 0, limitations : 0, it : 0, highlights : 0, adoption : 0.54, models : 0.56, such : 0, as : 0, googlenet : 0.54, resnet : 0.56, 50 : 0, yolov8 : 0.56, which : 0, have : 0, achieved : 0, levels : 0, exceeding : 0, 90 : 0, demonstrating : 0.53, capability : 0, cnns : 0, distinguishing : 0, between : 0, benign : 0, malignant : 0, lesions : 0, findings : 0, reveal : 0.56, that : 0, while : 0, offer : 0.61, high : 0, precision : 0.54, recall : 0.56, challenges : 0, remain : 0.56, terms : 0.57, overfitting : 0.75, dataset : 0, diversity : 0.54, computational : 0.53, cost : 0.58, underscores : 0.53, need : 0, larger : 0.56, more : 0.83, balanced : 0, advanced : 0, augmentation : 0, techniques : 0, optimized : 0.58, enhance : 0, model : 0.57, generalizability : 0.52, research : 0.54, aims : 0, contribute : 0.73, development : 0, robust : 0.61, efficient : 0, accessible : 0, ai : 0, based : 0, tools : 0.57, early : 0.57, detection : 0, improving : 0.54, clinical : 0, decision : 0, making : 0, patient : 0, care : 0.58 |
| 6. exit | 114 words | 0.77 | systematic : 0.4, literature : 0.52, review : 0.61, advancements : 0, in : 0, skin : 0.5, cancer : 0, diagnosis : 0.45, using : 0.48, convolutional : 0.44, neural : 0.47, networks : 0.58, and : 0, dermatoscopic : 0.55, imaging : 0.46, this : 0.5, study : 0, conducts : 0.46, a : 0, slr : 0, to : 0, analyze : 0, the : 0, application : 0.56, of : 0, cnn : 0, automated : 0.45, diagnostic : 0.57, systems : 0.46, for : 0, images : 0.47, examines : 0.77, methods : 0.6, architectures : 0.55, datasets : 0.46, used : 0, recent : 0.61, studies : 0.43, focusing : 0.46, on : 0, their : 0.48, accuracy : 0, efficiency : 0.61, limitations : 0.56, it : 0, highlights : 0.45, adoption : 0.42, models : 0, such : 0, as : 0, googlenet : 0, resnet : 0.61, 50 : 0, yolov8 : 0, which : 0.48, have : 0, achieved : 0.46, levels : 0.47, exceeding : 0.66, 90 : 0, demonstrating : 0.55, capability : 0.45, cnns : 0, distinguishing : 0.55, between : 0.6, benign : 0.61, malignant : 0.45, lesions : 0.6, findings : 0.46, reveal : 0.47, that : 0.5, while : 0.48, offer : 0, high : 0.5, precision : 0.57, recall : 0.47, challenges : 0, remain : 0.61, terms : 0.48, overfitting : 0.67, dataset : 0.46, diversity : 0.41, computational : 0.44, cost : 0.5, underscores : 0.45, need : 0.5, larger : 0, more : 0, balanced : 0, advanced : 0, augmentation : 0.56, techniques : 0.52, optimized : 0.41, enhance : 0.52, model : 0, generalizability : 0.54, research : 0.46, aims : 0.5, contribute : 0.4, development : 0.45, robust : 0.47, efficient : 0.62, accessible : 0.57, ai : 0.58, based : 0, tools : 0, early : 0.54, detection : 0.57, improving : 0.45, clinical : 0.46, decision : 0.58, making : 0.47, patient : 0.43, care : 0 |
| 7. no | 114 words | 0.78 | systematic : 0, literature : 0, review : 0, advancements : 0.53, in : 0, skin : 0, cancer : 0.56, diagnosis : 0, using : 0, convolutional : 0.55, neural : 0.6, networks : 0.78, and : 0, dermatoscopic : 0.53, imaging : 0, this : 0, study : 0, conducts : 0.58, a : 0, slr : 0, to : 0.67, analyze : 0.55, the : 0, application : 0, of : 0, cnn : 0, automated : 0.54, diagnostic : 0.73, systems : 0, for : 0.61, images : 0, examines : 0, methods : 0, architectures : 0, datasets : 0, used : 0, recent : 0, studies : 0, focusing : 0.54, on : 0, their : 0, accuracy : 0, efficiency : 0, limitations : 0, it : 0, highlights : 0, adoption : 0.54, models : 0.56, such : 0, as : 0, googlenet : 0.54, resnet : 0, 50 : 0, yolov8 : 0.56, which : 0, have : 0, achieved : 0, levels : 0, exceeding : 0, 90 : 0, demonstrating : 0.55, capability : 0, cnns : 0.58, distinguishing : 0.52, between : 0, benign : 0.56, malignant : 0, lesions : 0, findings : 0.54, reveal : 0, that : 0, while : 0, offer : 0.57, high : 0, precision : 0, recall : 0, challenges : 0, remain : 0, terms : 0, overfitting : 0.53, dataset : 0, diversity : 0, computational : 0.53, cost : 0.58, underscores : 0.53, need : 0.63, larger : 0, more : 0.58, balanced : 0, advanced : 0, augmentation : 0.53, techniques : 0.53, optimized : 0.54, enhance : 0.55, model : 0.57, generalizability : 0.52, research : 0, aims : 0, contribute : 0.57, development : 0.53, robust : 0.56, efficient : 0, accessible : 0, ai : 0, based : 0, tools : 0.57, early : 0, detection : 0, improving : 0.54, clinical : 0.54, decision : 0, making : 0, patient : 0, care : 0 |
| 8. direct | 114 words | 0.78 | systematic : 0.34, literature : 0.61, review : 0.5, advancements : 0.58, in : 0.56, skin : 0.47, cancer : 0.39, diagnosis : 0.61, using : 0.46, convolutional : 0.5, neural : 0.39, networks : 0.46, and : 0.5, dermatoscopic : 0.65, imaging : 0.44, this : 0.47, study : 0, conducts : 0.63, a : 0, slr : 0.5, to : 0, analyze : 0, the : 0.5, application : 0.59, of : 0, cnn : 0, automated : 0.43, diagnostic : 0.68, systems : 0.37, for : 0.5, images : 0.56, examines : 0.36, methods : 0.44, architectures : 0.57, datasets : 0.56, used : 0.47, recent : 0.78, studies : 0.44, focusing : 0.43, on : 0, their : 0.53, accuracy : 0.36, efficiency : 0.49, limitations : 0.51, it : 0.56, highlights : 0.51, adoption : 0.53, models : 0.56, such : 0.47, as : 0, googlenet : 0.52, resnet : 0.67, 50 : 0, yolov8 : 0, which : 0.58, have : 0.47, achieved : 0.46, levels : 0.44, exceeding : 0.52, 90 : 0, demonstrating : 0.58, capability : 0.49, cnns : 0, distinguishing : 0.66, between : 0.44, benign : 0.39, malignant : 0.52, lesions : 0.37, findings : 0.36, reveal : 0.56, that : 0.47, while : 0.58, offer : 0.41, high : 0.47, precision : 0.54, recall : 0.67, challenges : 0.34, remain : 0.56, terms : 0.41, overfitting : 0.59, dataset : 0.68, diversity : 0.78, computational : 0.5, cost : 0.47, underscores : 0.59, need : 0.47, larger : 0.56, more : 0.61, balanced : 0.36, advanced : 0.51, augmentation : 0.5, techniques : 0.43, optimized : 0.35, enhance : 0.44, model : 0.58, generalizability : 0.45, research : 0.63, aims : 0.47, contribute : 0.52, development : 0.55, robust : 0.56, efficient : 0.62, accessible : 0.34, ai : 0.56, based : 0.46, tools : 0, early : 0.46, detection : 0.66, improving : 0.52, clinical : 0.53, decision : 0.64, making : 0.44, patient : 0.64, care : 0.61 |
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| 33. initial | 114 words | 0.81 | systematic : 0.47, literature : 0.58, review : 0.44, advancements : 0.32, in : 0.81, skin : 0.6, cancer : 0.44, diagnosis : 0.55, using : 0.56, convolutional : 0.5, neural : 0.64, networks : 0.51, and : 0.49, dermatoscopic : 0.31, imaging : 0.57, this : 0.46, study : 0.45, conducts : 0.51, a : 0, slr : 0, to : 0, analyze : 0.43, the : 0, application : 0.56, of : 0, cnn : 0.49, automated : 0.5, diagnostic : 0.6, systems : 0.43, for : 0, images : 0.49, examines : 0.35, methods : 0.43, architectures : 0.39, datasets : 0.51, used : 0, recent : 0.44, studies : 0.36, focusing : 0.42, on : 0.55, their : 0.45, accuracy : 0.42, efficiency : 0.5, limitations : 0.66, it : 0.79, highlights : 0.47, adoption : 0.35, models : 0.44, such : 0, as : 0, googlenet : 0.42, resnet : 0.54, 50 : 0, yolov8 : 0, which : 0.45, have : 0, achieved : 0.42, levels : 0.44, exceeding : 0.42, 90 : 0, demonstrating : 0.55, capability : 0.53, cnns : 0.46, distinguishing : 0.62, between : 0.43, benign : 0.54, malignant : 0.5, lesions : 0.43, findings : 0.6, reveal : 0.54, that : 0.46, while : 0.45, offer : 0, high : 0.46, precision : 0.5, recall : 0.54, challenges : 0.5, remain : 0.37, terms : 0, overfitting : 0.57, dataset : 0.52, diversity : 0.5, computational : 0.44, cost : 0.46, underscores : 0.41, need : 0.46, larger : 0, more : 0, balanced : 0.35, advanced : 0.35, augmentation : 0.47, techniques : 0.41, optimized : 0.48, enhance : 0.52, model : 0.45, generalizability : 0.51, research : 0.42, aims : 0.46, contribute : 0.47, development : 0.41, robust : 0.44, efficient : 0.5, accessible : 0.5, ai : 0.55, based : 0, tools : 0, early : 0, detection : 0.5, improving : 0.55, clinical : 0.78, decision : 0.51, making : 0.44, patient : 0.36, care : 0 |
| 34. scale | 114 words | 0.78 | systematic : 0.57, literature : 0.47, review : 0.46, advancements : 0.51, in : 0, skin : 0.54, cancer : 0.7, diagnosis : 0.44, using : 0.47, convolutional : 0.52, neural : 0.58, networks : 0.44, and : 0, dermatoscopic : 0.35, imaging : 0.45, this : 0, study : 0.52, conducts : 0.44, a : 0, slr : 0.56, to : 0, analyze : 0.68, the : 0, application : 0.46, of : 0, cnn : 0.51, automated : 0.54, diagnostic : 0.43, systems : 0.61, for : 0, images : 0.58, examines : 0.55, methods : 0, architectures : 0.5, datasets : 0.55, used : 0.48, recent : 0.58, studies : 0.61, focusing : 0.44, on : 0, their : 0, accuracy : 0.38, efficiency : 0.37, limitations : 0.36, it : 0, highlights : 0.43, adoption : 0.44, models : 0.41, such : 0.67, as : 0.57, googlenet : 0.54, resnet : 0.58, 50 : 0, yolov8 : 0.46, which : 0, have : 0.63, achieved : 0.55, levels : 0.41, exceeding : 0.54, 90 : 0, demonstrating : 0.35, capability : 0.63, cnns : 0.48, distinguishing : 0.42, between : 0.45, benign : 0, malignant : 0.54, lesions : 0.45, findings : 0, reveal : 0.53, that : 0.48, while : 0.6, offer : 0.47, high : 0, precision : 0.37, recall : 0.7, challenges : 0.73, remain : 0.46, terms : 0, overfitting : 0.43, dataset : 0.56, diversity : 0.44, computational : 0.52, cost : 0.48, underscores : 0.43, need : 0, larger : 0.58, more : 0.48, balanced : 0.66, advanced : 0.55, augmentation : 0.52, techniques : 0.37, optimized : 0.44, enhance : 0.56, model : 0.43, generalizability : 0.43, research : 0.49, aims : 0, contribute : 0.43, development : 0.36, robust : 0, efficient : 0.54, accessible : 0.61, ai : 0, based : 0.6, tools : 0.47, early : 0.6, detection : 0.37, improving : 0, clinical : 0.55, decision : 0.38, making : 0.46, patient : 0.56, care : 0.78 |
| 35. 1 | 114 words | 0 | systematic : 0, literature : 0, review : 0, advancements : 0, in : 0, skin : 0, cancer : 0, diagnosis : 0, using : 0, convolutional : 0, neural : 0, networks : 0, and : 0, dermatoscopic : 0, imaging : 0, this : 0, study : 0, conducts : 0, a : 0, slr : 0, to : 0, analyze : 0, the : 0, application : 0, of : 0, cnn : 0, automated : 0, diagnostic : 0, systems : 0, for : 0, images : 0, examines : 0, methods : 0, architectures : 0, datasets : 0, used : 0, recent : 0, studies : 0, focusing : 0, on : 0, their : 0, accuracy : 0, efficiency : 0, limitations : 0, it : 0, highlights : 0, adoption : 0, models : 0, such : 0, as : 0, googlenet : 0, resnet : 0, 50 : 0, yolov8 : 0, which : 0, have : 0, achieved : 0, levels : 0, exceeding : 0, 90 : 0, demonstrating : 0, capability : 0, cnns : 0, distinguishing : 0, between : 0, benign : 0, malignant : 0, lesions : 0, findings : 0, reveal : 0, that : 0, while : 0, offer : 0, high : 0, precision : 0, recall : 0, challenges : 0, remain : 0, terms : 0, overfitting : 0, dataset : 0, diversity : 0, computational : 0, cost : 0, underscores : 0, need : 0, larger : 0, more : 0, balanced : 0, advanced : 0, augmentation : 0, techniques : 0, optimized : 0, enhance : 0, model : 0, generalizability : 0, research : 0, aims : 0, contribute : 0, development : 0, robust : 0, efficient : 0, accessible : 0, ai : 0, based : 0, tools : 0, early : 0, detection : 0, improving : 0, clinical : 0, decision : 0, making : 0, patient : 0, care : 0 |
| 36. shrink | 114 words | 0.78 | systematic : 0.48, literature : 0.34, review : 0.56, advancements : 0.42, in : 0, skin : 0.78, cancer : 0.44, diagnosis : 0.52, using : 0.7, convolutional : 0.33, neural : 0.44, networks : 0.53, and : 0, dermatoscopic : 0.41, imaging : 0.54, this : 0.61, study : 0.51, conducts : 0.43, a : 0, slr : 0.7, to : 0, analyze : 0, the : 0.5, application : 0.42, of : 0, cnn : 0.5, automated : 0, diagnostic : 0.51, systems : 0.49, for : 0.5, images : 0, examines : 0.53, methods : 0.44, architectures : 0.47, datasets : 0, used : 0.47, recent : 0.56, studies : 0.59, focusing : 0.53, on : 0, their : 0.59, accuracy : 0.43, efficiency : 0.51, limitations : 0.42, it : 0, highlights : 0.51, adoption : 0.53, models : 0, such : 0.65, as : 0.56, googlenet : 0.43, resnet : 0.56, 50 : 0, yolov8 : 0, which : 0.58, have : 0.47, achieved : 0.53, levels : 0, exceeding : 0.52, 90 : 0, demonstrating : 0.41, capability : 0.42, cnns : 0.47, distinguishing : 0.46, between : 0.44, benign : 0.39, malignant : 0.52, lesions : 0.64, findings : 0.53, reveal : 0.44, that : 0.47, while : 0.58, offer : 0.46, high : 0.61, precision : 0.52, recall : 0.44, challenges : 0.51, remain : 0.67, terms : 0.46, overfitting : 0.51, dataset : 0, diversity : 0.35, computational : 0.41, cost : 0.47, underscores : 0.34, need : 0, larger : 0.44, more : 0.47, balanced : 0.43, advanced : 0.43, augmentation : 0.42, techniques : 0.49, optimized : 0.43, enhance : 0.54, model : 0, generalizability : 0.4, research : 0.36, aims : 0.47, contribute : 0.43, development : 0, robust : 0.44, efficient : 0.52, accessible : 0.51, ai : 0.56, based : 0.46, tools : 0, early : 0.46, detection : 0.43, improving : 0.5, clinical : 0.53, decision : 0.53, making : 0.56, patient : 0.54, care : 0.47 |
| 37. to | 114 words | 1 | systematic : 0.53, literature : 0.53, review : 0, advancements : 0, in : 0, skin : 0, cancer : 0, diagnosis : 0, using : 0, convolutional : 0.53, neural : 0, networks : 0.75, and : 0, dermatoscopic : 0.72, imaging : 0, this : 0.63, study : 0.57, conducts : 0.54, a : 0, slr : 0, to : 1, analyze : 0, the : 0.65, application : 0, of : 0, cnn : 0, automated : 0.74, diagnostic : 0.53, systems : 0, for : 0.61, images : 0, examines : 0, methods : 0.55, architectures : 0.53, datasets : 0.54, used : 0, recent : 0, studies : 0.55, focusing : 0.54, on : 0, their : 0.61, accuracy : 0, efficiency : 0, limitations : 0.53, it : 0, highlights : 0, adoption : 0.54, models : 0.56, such : 0, as : 0, googlenet : 0.54, resnet : 0, 50 : 0, yolov8 : 0.56, which : 0, have : 0, achieved : 0, levels : 0, exceeding : 0, 90 : 0, demonstrating : 0.53, capability : 0, cnns : 0, distinguishing : 0.52, between : 0.55, benign : 0, malignant : 0, lesions : 0, findings : 0, reveal : 0, that : 0.63, while : 0, offer : 0.57, high : 0, precision : 0, recall : 0, challenges : 0, remain : 0, terms : 0.61, overfitting : 0.53, dataset : 0.55, diversity : 0, computational : 0.55, cost : 0.58, underscores : 0, need : 0, larger : 0, more : 0.58, balanced : 0, advanced : 0, augmentation : 0, techniques : 0.58, optimized : 0.57, enhance : 0, model : 0.57, generalizability : 0, research : 0, aims : 0, contribute : 0.57, development : 0.53, robust : 0.56, efficient : 0, accessible : 0, ai : 0, based : 0, tools : 0.84, early : 0, detection : 0.54, improving : 0.54, clinical : 0, decision : 0, making : 0, patient : 0.55, care : 0 |
| 38. fit | 114 words | 0.76 | systematic : 0.48, literature : 0.62, review : 0.5, advancements : 0, in : 0, skin : 0.53, cancer : 0, diagnosis : 0.48, using : 0.51, convolutional : 0.47, neural : 0, networks : 0.49, and : 0, dermatoscopic : 0.47, imaging : 0.49, this : 0.53, study : 0.51, conducts : 0, a : 0, slr : 0, to : 0, analyze : 0, the : 0, application : 0.47, of : 0, cnn : 0, automated : 0.48, diagnostic : 0.48, systems : 0.49, for : 0.6, images : 0.5, examines : 0.49, methods : 0.49, architectures : 0.61, datasets : 0.49, used : 0, recent : 0, studies : 0.49, focusing : 0.54, on : 0, their : 0, accuracy : 0, efficiency : 0.62, limitations : 0.62, it : 0, highlights : 0.48, adoption : 0.49, models : 0, such : 0, as : 0, googlenet : 0, resnet : 0, 50 : 0, yolov8 : 0, which : 0.51, have : 0, achieved : 0.49, levels : 0, exceeding : 0, 90 : 0, demonstrating : 0.47, capability : 0.48, cnns : 0, distinguishing : 0.6, between : 0.49, benign : 0.5, malignant : 0.48, lesions : 0.49, findings : 0.71, reveal : 0, that : 0.53, while : 0.51, offer : 0.51, high : 0.53, precision : 0.48, recall : 0, challenges : 0, remain : 0, terms : 0, overfitting : 0.76, dataset : 0.49, diversity : 0.48, computational : 0.47, cost : 0.53, underscores : 0, need : 0, larger : 0, more : 0, balanced : 0, advanced : 0, augmentation : 0.47, techniques : 0.46, optimized : 0.46, enhance : 0, model : 0, generalizability : 0.47, research : 0, aims : 0.53, contribute : 0.46, development : 0, robust : 0, efficient : 0.63, accessible : 0, ai : 0.61, based : 0, tools : 0, early : 0, detection : 0.48, improving : 0.48, clinical : 0.49, decision : 0.49, making : 0.5, patient : 0.48, care : 0 |
| 39. title | 114 words | 0.73 | systematic : 0.53, literature : 0.73, review : 0.58, advancements : 0.43, in : 0.57, skin : 0.48, cancer : 0.46, diagnosis : 0.44, using : 0.47, convolutional : 0.35, neural : 0.46, networks : 0.38, and : 0, dermatoscopic : 0.35, imaging : 0.45, this : 0.67, study : 0.47, conducts : 0, a : 0, slr : 0, to : 0.61, analyze : 0.56, the : 0.56, application : 0.36, of : 0, cnn : 0, automated : 0.54, diagnostic : 0.43, systems : 0.56, for : 0, images : 0.58, examines : 0.55, methods : 0.45, architectures : 0.5, datasets : 0.55, used : 0, recent : 0.46, studies : 0.56, focusing : 0, on : 0, their : 0.52, accuracy : 0, efficiency : 0.37, limitations : 0.64, it : 0.63, highlights : 0.53, adoption : 0.44, models : 0.41, such : 0, as : 0, googlenet : 0.54, resnet : 0.46, 50 : 0, yolov8 : 0.46, which : 0.47, have : 0.48, achieved : 0.55, levels : 0.41, exceeding : 0.44, 90 : 0, demonstrating : 0.35, capability : 0.53, cnns : 0, distinguishing : 0.35, between : 0.56, benign : 0.46, malignant : 0.37, lesions : 0.45, findings : 0.44, reveal : 0.41, that : 0.67, while : 0.73, offer : 0.47, high : 0.48, precision : 0.37, recall : 0.46, challenges : 0.53, remain : 0, terms : 0.52, overfitting : 0.46, dataset : 0.56, diversity : 0.54, computational : 0.52, cost : 0.48, underscores : 0.43, need : 0, larger : 0.46, more : 0.48, balanced : 0.55, advanced : 0.44, augmentation : 0.36, techniques : 0.57, optimized : 0.64, enhance : 0.45, model : 0.43, generalizability : 0.48, research : 0.44, aims : 0.48, contribute : 0.53, development : 0.36, robust : 0, efficient : 0.54, accessible : 0.43, ai : 0.57, based : 0.47, tools : 0.64, early : 0.47, detection : 0.53, improving : 0.44, clinical : 0.38, decision : 0.38, making : 0.46, patient : 0.68, care : 0.48 |
| 40. home | 114 words | 0.72 | systematic : 0.4, literature : 0.45, review : 0.47, advancements : 0.39, in : 0, skin : 0, cancer : 0.47, diagnosis : 0, using : 0, convolutional : 0.44, neural : 0.47, networks : 0.42, and : 0, dermatoscopic : 0.55, imaging : 0.46, this : 0.5, study : 0, conducts : 0.46, a : 0, slr : 0, to : 0.58, analyze : 0, the : 0.72, application : 0, of : 0.58, cnn : 0, automated : 0.57, diagnostic : 0.45, systems : 0.46, for : 0.53, images : 0.61, examines : 0.42, methods : 0.6, architectures : 0.55, datasets : 0.46, used : 0.5, recent : 0.47, studies : 0.46, focusing : 0.46, on : 0.58, their : 0.63, accuracy : 0, efficiency : 0.45, limitations : 0.45, it : 0, highlights : 0.51, adoption : 0.46, models : 0.64, such : 0, as : 0, googlenet : 0.57, resnet : 0.47, 50 : 0, yolov8 : 0.47, which : 0.48, have : 0.7, achieved : 0.58, levels : 0.47, exceeding : 0.45, 90 : 0, demonstrating : 0.55, capability : 0, cnns : 0, distinguishing : 0, between : 0.46, benign : 0.47, malignant : 0.45, lesions : 0.46, findings : 0, reveal : 0.47, that : 0.5, while : 0.63, offer : 0.63, high : 0.55, precision : 0.45, recall : 0.47, challenges : 0.57, remain : 0.44, terms : 0.48, overfitting : 0.56, dataset : 0.46, diversity : 0.45, computational : 0.55, cost : 0.5, underscores : 0.45, need : 0.5, larger : 0.47, more : 0.67, balanced : 0.46, advanced : 0.46, augmentation : 0.56, techniques : 0.4, optimized : 0.57, enhance : 0.46, model : 0.63, generalizability : 0.44, research : 0.46, aims : 0.5, contribute : 0.45, development : 0.39, robust : 0.47, efficient : 0.45, accessible : 0.45, ai : 0, based : 0.48, tools : 0.48, early : 0, detection : 0.45, improving : 0.41, clinical : 0, decision : 0.46, making : 0.47, patient : 0.46, care : 0.5 |
| 41. identitas | 114 words | 0.77 | systematic : 0.55, literature : 0.55, review : 0.35, advancements : 0.64, in : 0.77, skin : 0.57, cancer : 0.35, diagnosis : 0.57, using : 0.54, convolutional : 0.58, neural : 0.5, networks : 0.56, and : 0.46, dermatoscopic : 0.58, imaging : 0.53, this : 0.45, study : 0.37, conducts : 0.56, a : 0, slr : 0, to : 0, analyze : 0.42, the : 0.48, application : 0.48, of : 0, cnn : 0.48, automated : 0.44, diagnostic : 0.62, systems : 0.48, for : 0, images : 0.65, examines : 0.56, methods : 0.59, architectures : 0.58, datasets : 0.66, used : 0.41, recent : 0.61, studies : 0.62, focusing : 0.32, on : 0.54, their : 0.37, accuracy : 0.41, efficiency : 0.45, limitations : 0.63, it : 0.77, highlights : 0.53, adoption : 0.57, models : 0.61, such : 0, as : 0, googlenet : 0.56, resnet : 0.61, 50 : 0, yolov8 : 0, which : 0.44, have : 0.45, achieved : 0.49, levels : 0.52, exceeding : 0.48, 90 : 0, demonstrating : 0.73, capability : 0.43, cnns : 0.45, distinguishing : 0.59, between : 0.48, benign : 0.44, malignant : 0.55, lesions : 0.59, findings : 0.66, reveal : 0.52, that : 0.45, while : 0.54, offer : 0.44, high : 0.45, precision : 0.56, recall : 0.43, challenges : 0.54, remain : 0.5, terms : 0.44, overfitting : 0.52, dataset : 0.59, diversity : 0.67, computational : 0.5, cost : 0.45, underscores : 0.48, need : 0.58, larger : 0.43, more : 0.45, balanced : 0.41, advanced : 0.49, augmentation : 0.67, techniques : 0.59, optimized : 0.44, enhance : 0.5, model : 0.54, generalizability : 0.49, research : 0.49, aims : 0.45, contribute : 0.61, development : 0.54, robust : 0.43, efficient : 0.55, accessible : 0.43, ai : 0.54, based : 0.37, tools : 0, early : 0.44, detection : 0.64, improving : 0.53, clinical : 0.65, decision : 0.52, making : 0.52, patient : 0.62, care : 0.45 |
| 42. judul | 114 words | 0.63 | systematic : 0, literature : 0.37, review : 0, advancements : 0.43, in : 0, skin : 0, cancer : 0, diagnosis : 0.44, using : 0.47, convolutional : 0.35, neural : 0.58, networks : 0, and : 0.51, dermatoscopic : 0.43, imaging : 0, this : 0, study : 0.6, conducts : 0.38, a : 0, slr : 0, to : 0, analyze : 0.45, the : 0, application : 0.43, of : 0, cnn : 0, automated : 0.44, diagnostic : 0.43, systems : 0, for : 0, images : 0, examines : 0, methods : 0, architectures : 0, datasets : 0.44, used : 0.63, recent : 0, studies : 0.56, focusing : 0.44, on : 0, their : 0, accuracy : 0.44, efficiency : 0, limitations : 0.43, it : 0, highlights : 0.43, adoption : 0.44, models : 0.58, such : 0.48, as : 0, googlenet : 0.44, resnet : 0, 50 : 0, yolov8 : 0.46, which : 0, have : 0, achieved : 0, levels : 0.46, exceeding : 0.44, 90 : 0, demonstrating : 0.43, capability : 0.43, cnns : 0, distinguishing : 0.35, between : 0, benign : 0, malignant : 0.44, lesions : 0, findings : 0.44, reveal : 0.46, that : 0, while : 0.47, offer : 0, high : 0, precision : 0, recall : 0.46, challenges : 0.43, remain : 0, terms : 0, overfitting : 0, dataset : 0.45, diversity : 0.44, computational : 0.43, cost : 0, underscores : 0.53, need : 0.48, larger : 0, more : 0, balanced : 0.44, advanced : 0.44, augmentation : 0.43, techniques : 0.43, optimized : 0, enhance : 0, model : 0.6, generalizability : 0.42, research : 0, aims : 0, contribute : 0.43, development : 0.53, robust : 0.46, efficient : 0, accessible : 0.43, ai : 0, based : 0, tools : 0.47, early : 0.47, detection : 0.44, improving : 0, clinical : 0.44, decision : 0.44, making : 0, patient : 0, care : 0 |
| 43. description | 114 words | 0.88 | systematic : 0.42, literature : 0.46, review : 0.48, advancements : 0.49, in : 0, skin : 0.56, cancer : 0.48, diagnosis : 0.58, using : 0.53, convolutional : 0.55, neural : 0.51, networks : 0.48, and : 0.47, dermatoscopic : 0.77, imaging : 0.41, this : 0.39, study : 0.36, conducts : 0.44, a : 0, slr : 0.62, to : 0, analyze : 0, the : 0.47, application : 0.71, of : 0, cnn : 0.47, automated : 0.4, diagnostic : 0.62, systems : 0.4, for : 0.47, images : 0.51, examines : 0.48, methods : 0.49, architectures : 0.48, datasets : 0.58, used : 0.56, recent : 0.55, studies : 0.48, focusing : 0.54, on : 0, their : 0.51, accuracy : 0.48, efficiency : 0.58, limitations : 0.64, it : 0, highlights : 0.41, adoption : 0.68, models : 0.59, such : 0.56, as : 0.53, googlenet : 0.42, resnet : 0.55, 50 : 0, yolov8 : 0, which : 0.36, have : 0.45, achieved : 0.38, levels : 0.51, exceeding : 0.6, 90 : 0, demonstrating : 0.72, capability : 0.52, cnns : 0.39, distinguishing : 0.64, between : 0.49, benign : 0.51, malignant : 0.42, lesions : 0.57, findings : 0.44, reveal : 0.34, that : 0.45, while : 0.36, offer : 0.53, high : 0.45, precision : 0.79, recall : 0.42, challenges : 0.41, remain : 0.48, terms : 0.51, overfitting : 0.7, dataset : 0.61, diversity : 0.72, computational : 0.59, cost : 0.56, underscores : 0.61, need : 0.39, larger : 0.34, more : 0.39, balanced : 0.41, advanced : 0.48, augmentation : 0.52, techniques : 0.52, optimized : 0.47, enhance : 0.49, model : 0.53, generalizability : 0.52, research : 0.45, aims : 0.39, contribute : 0.46, development : 0.67, robust : 0.48, efficient : 0.6, accessible : 0.46, ai : 0.53, based : 0.51, tools : 0.43, early : 0.53, detection : 0.81, improving : 0.48, clinical : 0.55, decision : 0.88, making : 0.42, patient : 0.46, care : 0.51 |
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| 45. firman | 114 words | 0.78 | systematic : 0.51, literature : 0.6, review : 0.39, advancements : 0.42, in : 0.56, skin : 0.61, cancer : 0, diagnosis : 0.61, using : 0.58, convolutional : 0.41, neural : 0.56, networks : 0.43, and : 0, dermatoscopic : 0.58, imaging : 0.75, this : 0.47, study : 0, conducts : 0.43, a : 0, slr : 0.5, to : 0, analyze : 0.44, the : 0, application : 0.34, of : 0.56, cnn : 0, automated : 0.52, diagnostic : 0.6, systems : 0.44, for : 0.7, images : 0.67, examines : 0.64, methods : 0, architectures : 0.47, datasets : 0.43, used : 0, recent : 0.56, studies : 0, focusing : 0.58, on : 0, their : 0.58, accuracy : 0.53, efficiency : 0.6, limitations : 0.68, it : 0.56, highlights : 0.42, adoption : 0.43, models : 0, such : 0, as : 0, googlenet : 0.43, resnet : 0.56, 50 : 0, yolov8 : 0, which : 0.46, have : 0, achieved : 0.43, levels : 0, exceeding : 0.43, 90 : 0, demonstrating : 0.49, capability : 0.34, cnns : 0, distinguishing : 0.49, between : 0.44, benign : 0.56, malignant : 0.58, lesions : 0.54, findings : 0.7, reveal : 0.56, that : 0.47, while : 0.46, offer : 0.58, high : 0.47, precision : 0.5, recall : 0.56, challenges : 0.51, remain : 0.78, terms : 0.58, overfitting : 0.55, dataset : 0.44, diversity : 0.52, computational : 0.58, cost : 0, underscores : 0.34, need : 0, larger : 0.44, more : 0.47, balanced : 0.53, advanced : 0.53, augmentation : 0.47, techniques : 0.34, optimized : 0.52, enhance : 0.54, model : 0, generalizability : 0.56, research : 0.53, aims : 0.61, contribute : 0.49, development : 0.51, robust : 0.44, efficient : 0.61, accessible : 0.42, ai : 0.56, based : 0, tools : 0, early : 0.46, detection : 0.43, improving : 0.62, clinical : 0.51, decision : 0.53, making : 0.56, patient : 0.54, care : 0.47 |
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| 76. assets | 114 words | 0.82 | systematic : 0.61, literature : 0.34, review : 0.44, advancements : 0.55, in : 0, skin : 0.47, cancer : 0.56, diagnosis : 0.52, using : 0.46, convolutional : 0.41, neural : 0.44, networks : 0.63, and : 0.55, dermatoscopic : 0.49, imaging : 0.44, this : 0.47, study : 0.46, conducts : 0.53, a : 0.75, slr : 0.5, to : 0, analyze : 0.49, the : 0.5, application : 0.55, of : 0, cnn : 0, automated : 0.57, diagnostic : 0.6, systems : 0.78, for : 0, images : 0.67, examines : 0.51, methods : 0.64, architectures : 0.52, datasets : 0.72, used : 0.61, recent : 0.56, studies : 0.64, focusing : 0.43, on : 0, their : 0.46, accuracy : 0.49, efficiency : 0.42, limitations : 0.42, it : 0, highlights : 0.51, adoption : 0.58, models : 0.56, such : 0.47, as : 0.82, googlenet : 0.43, resnet : 0.56, 50 : 0, yolov8 : 0, which : 0, have : 0.61, achieved : 0.58, levels : 0.56, exceeding : 0.43, 90 : 0, demonstrating : 0.47, capability : 0.51, cnns : 0.47, distinguishing : 0.57, between : 0.54, benign : 0.44, malignant : 0.43, lesions : 0.53, findings : 0.43, reveal : 0.44, that : 0.61, while : 0.46, offer : 0.46, high : 0, precision : 0.35, recall : 0.44, challenges : 0.6, remain : 0.44, terms : 0.41, overfitting : 0.51, dataset : 0.62, diversity : 0.5, computational : 0.41, cost : 0.61, underscores : 0.34, need : 0.47, larger : 0.56, more : 0.47, balanced : 0.53, advanced : 0.58, augmentation : 0.63, techniques : 0.49, optimized : 0.43, enhance : 0, model : 0.46, generalizability : 0.32, research : 0.36, aims : 0.65, contribute : 0.42, development : 0.42, robust : 0.56, efficient : 0.43, accessible : 0.65, ai : 0.6, based : 0.7, tools : 0.46, early : 0.46, detection : 0.52, improving : 0, clinical : 0, decision : 0.36, making : 0.44, patient : 0.53, care : 0.61 |
| 77. bootstrap | 114 words | 0.66 | systematic : 0.45, literature : 0.49, review : 0, advancements : 0.3, in : 0, skin : 0, cancer : 0.43, diagnosis : 0.48, using : 0.44, convolutional : 0.58, neural : 0.52, networks : 0.48, and : 0, dermatoscopic : 0.57, imaging : 0, this : 0.57, study : 0.44, conducts : 0.57, a : 0, slr : 0, to : 0.57, analyze : 0, the : 0.48, application : 0.3, of : 0.54, cnn : 0, automated : 0.46, diagnostic : 0.43, systems : 0.34, for : 0.48, images : 0.43, examines : 0.41, methods : 0.48, architectures : 0.41, datasets : 0.57, used : 0.45, recent : 0.43, studies : 0.5, focusing : 0.49, on : 0.54, their : 0.54, accuracy : 0.49, efficiency : 0, limitations : 0.42, it : 0.54, highlights : 0.4, adoption : 0.49, models : 0.52, such : 0, as : 0.54, googlenet : 0.56, resnet : 0.35, 50 : 0, yolov8 : 0.52, which : 0, have : 0, achieved : 0, levels : 0.43, exceeding : 0, 90 : 0, demonstrating : 0.57, capability : 0.38, cnns : 0.45, distinguishing : 0.29, between : 0.55, benign : 0.48, malignant : 0.31, lesions : 0.34, findings : 0.41, reveal : 0.43, that : 0.57, while : 0, offer : 0.54, high : 0, precision : 0.41, recall : 0, challenges : 0, remain : 0, terms : 0.54, overfitting : 0.52, dataset : 0.59, diversity : 0.39, computational : 0.58, cost : 0.58, underscores : 0.3, need : 0, larger : 0.43, more : 0.45, balanced : 0.47, advanced : 0, augmentation : 0.42, techniques : 0.4, optimized : 0.48, enhance : 0, model : 0.44, generalizability : 0.45, research : 0.46, aims : 0.45, contribute : 0.53, development : 0.47, robust : 0.54, efficient : 0.41, accessible : 0.4, ai : 0, based : 0.59, tools : 0.66, early : 0, detection : 0.48, improving : 0.31, clinical : 0.41, decision : 0.41, making : 0, patient : 0.5, care : 0 |
| 78. limitless | 114 words | 0.84 | systematic : 0.38, literature : 0.69, review : 0.52, advancements : 0.42, in : 0.54, skin : 0.45, cancer : 0.43, diagnosis : 0.56, using : 0.44, convolutional : 0.41, neural : 0.43, networks : 0.49, and : 0, dermatoscopic : 0.46, imaging : 0.59, this : 0.45, study : 0.44, conducts : 0.49, a : 0, slr : 0.48, to : 0, analyze : 0.5, the : 0, application : 0.54, of : 0, cnn : 0, automated : 0.44, diagnostic : 0.43, systems : 0.55, for : 0, images : 0.7, examines : 0.56, methods : 0.59, architectures : 0.58, datasets : 0.56, used : 0, recent : 0.35, studies : 0.59, focusing : 0.32, on : 0, their : 0.44, accuracy : 0, efficiency : 0.54, limitations : 0.84, it : 0.74, highlights : 0.62, adoption : 0.32, models : 0.62, such : 0, as : 0, googlenet : 0.48, resnet : 0.35, 50 : 0, yolov8 : 0.43, which : 0.44, have : 0.45, achieved : 0.49, levels : 0.66, exceeding : 0.31, 90 : 0, demonstrating : 0.42, capability : 0.49, cnns : 0, distinguishing : 0.57, between : 0.5, benign : 0.43, malignant : 0.39, lesions : 0.63, findings : 0.57, reveal : 0.35, that : 0.45, while : 0.53, offer : 0.44, high : 0.45, precision : 0.44, recall : 0.43, challenges : 0.61, remain : 0.35, terms : 0.54, overfitting : 0.37, dataset : 0.48, diversity : 0.57, computational : 0.41, cost : 0.45, underscores : 0.54, need : 0, larger : 0.57, more : 0.57, balanced : 0.49, advanced : 0.41, augmentation : 0.42, techniques : 0.53, optimized : 0.57, enhance : 0.42, model : 0.53, generalizability : 0.4, research : 0.41, aims : 0.57, contribute : 0.43, development : 0.3, robust : 0.35, efficient : 0.56, accessible : 0.52, ai : 0.54, based : 0.44, tools : 0.54, early : 0.44, detection : 0.39, improving : 0.56, clinical : 0.65, decision : 0.46, making : 0.35, patient : 0.48, care : 0.45 |
| 79. layout | 114 words | 0.72 | systematic : 0.51, literature : 0.61, review : 0, advancements : 0.5, in : 0, skin : 0, cancer : 0.44, diagnosis : 0.52, using : 0, convolutional : 0.57, neural : 0.44, networks : 0.36, and : 0.5, dermatoscopic : 0.47, imaging : 0.44, this : 0, study : 0.41, conducts : 0.63, a : 0.72, slr : 0.5, to : 0.56, analyze : 0.54, the : 0, application : 0.48, of : 0, cnn : 0, automated : 0.58, diagnostic : 0.6, systems : 0.54, for : 0.5, images : 0.44, examines : 0.43, methods : 0.44, architectures : 0.47, datasets : 0.53, used : 0, recent : 0.44, studies : 0.44, focusing : 0.53, on : 0, their : 0, accuracy : 0.53, efficiency : 0, limitations : 0.53, it : 0, highlights : 0.51, adoption : 0.63, models : 0.44, such : 0, as : 0.56, googlenet : 0.52, resnet : 0.44, 50 : 0, yolov8 : 0.5, which : 0, have : 0.47, achieved : 0.43, levels : 0.5, exceeding : 0, 90 : 0, demonstrating : 0.5, capability : 0.51, cnns : 0, distinguishing : 0.33, between : 0, benign : 0, malignant : 0.5, lesions : 0.59, findings : 0, reveal : 0, that : 0.61, while : 0, offer : 0, high : 0, precision : 0, recall : 0.44, challenges : 0.34, remain : 0.44, terms : 0, overfitting : 0.51, dataset : 0.54, diversity : 0.43, computational : 0.49, cost : 0.61, underscores : 0.34, need : 0, larger : 0.64, more : 0.47, balanced : 0.36, advanced : 0.43, augmentation : 0.58, techniques : 0.42, optimized : 0.52, enhance : 0.44, model : 0.46, generalizability : 0.32, research : 0.43, aims : 0.47, contribute : 0.49, development : 0.51, robust : 0.67, efficient : 0.43, accessible : 0.42, ai : 0.56, based : 0.46, tools : 0.46, early : 0.58, detection : 0.43, improving : 0.43, clinical : 0.43, decision : 0.43, making : 0.44, patient : 0.54, care : 0.47 |
| 80. components | 114 words | 0.8 | systematic : 0.42, literature : 0.47, review : 0.42, advancements : 0.67, in : 0.53, skin : 0.45, cancer : 0.64, diagnosis : 0.43, using : 0.43, convolutional : 0.66, neural : 0, networks : 0.48, and : 0.48, dermatoscopic : 0.55, imaging : 0.5, this : 0, study : 0, conducts : 0.77, a : 0, slr : 0, to : 0.53, analyze : 0.5, the : 0.48, application : 0.41, of : 0.53, cnn : 0.66, automated : 0.53, diagnostic : 0.43, systems : 0.47, for : 0.48, images : 0.6, examines : 0.63, methods : 0.47, architectures : 0.49, datasets : 0.56, used : 0.45, recent : 0.61, studies : 0.5, focusing : 0.45, on : 0.73, their : 0.43, accuracy : 0.41, efficiency : 0.42, limitations : 0.55, it : 0, highlights : 0.47, adoption : 0.61, models : 0.61, such : 0.45, as : 0, googlenet : 0.62, resnet : 0.6, 50 : 0, yolov8 : 0.51, which : 0.43, have : 0.45, achieved : 0.48, levels : 0.51, exceeding : 0.43, 90 : 0, demonstrating : 0.63, capability : 0.58, cnns : 0.61, distinguishing : 0.44, between : 0.33, benign : 0.51, malignant : 0.61, lesions : 0.58, findings : 0.56, reveal : 0.42, that : 0, while : 0.43, offer : 0.53, high : 0, precision : 0.59, recall : 0.42, challenges : 0.57, remain : 0.51, terms : 0.43, overfitting : 0.46, dataset : 0.5, diversity : 0.43, computational : 0.8, cost : 0.65, underscores : 0.42, need : 0.45, larger : 0.42, more : 0.57, balanced : 0.48, advanced : 0.48, augmentation : 0.51, techniques : 0.6, optimized : 0.53, enhance : 0.47, model : 0.52, generalizability : 0.38, research : 0.41, aims : 0.45, contribute : 0.68, development : 0.52, robust : 0.51, efficient : 0.53, accessible : 0.53, ai : 0, based : 0.43, tools : 0.53, early : 0, detection : 0.52, improving : 0.49, clinical : 0.54, decision : 0.56, making : 0.51, patient : 0.57, care : 0.61 |
| 81. colors | 114 words | 0.74 | systematic : 0.42, literature : 0.51, review : 0, advancements : 0.42, in : 0, skin : 0, cancer : 0.6, diagnosis : 0.52, using : 0, convolutional : 0.66, neural : 0.44, networks : 0.63, and : 0, dermatoscopic : 0.47, imaging : 0, this : 0.47, study : 0, conducts : 0.7, a : 0, slr : 0.67, to : 0.56, analyze : 0.44, the : 0, application : 0.42, of : 0.56, cnn : 0.55, automated : 0.43, diagnostic : 0.51, systems : 0.44, for : 0.67, images : 0.44, examines : 0.43, methods : 0.54, architectures : 0.33, datasets : 0.43, used : 0, recent : 0.44, studies : 0.44, focusing : 0.51, on : 0.56, their : 0.46, accuracy : 0.53, efficiency : 0.42, limitations : 0.42, it : 0, highlights : 0.51, adoption : 0.53, models : 0.67, such : 0.47, as : 0, googlenet : 0.5, resnet : 0, 50 : 0, yolov8 : 0.67, which : 0, have : 0, achieved : 0.43, levels : 0.56, exceeding : 0.43, 90 : 0, demonstrating : 0.47, capability : 0.56, cnns : 0.65, distinguishing : 0.41, between : 0, benign : 0, malignant : 0.43, lesions : 0.64, findings : 0.43, reveal : 0, that : 0, while : 0.46, offer : 0.58, high : 0, precision : 0.5, recall : 0.56, challenges : 0.64, remain : 0, terms : 0.58, overfitting : 0.51, dataset : 0.44, diversity : 0.52, computational : 0.6, cost : 0.69, underscores : 0.42, need : 0, larger : 0.56, more : 0.61, balanced : 0.43, advanced : 0, augmentation : 0, techniques : 0.51, optimized : 0.43, enhance : 0, model : 0.58, generalizability : 0.32, research : 0.36, aims : 0.47, contribute : 0.68, development : 0.34, robust : 0.56, efficient : 0, accessible : 0.51, ai : 0, based : 0, tools : 0.74, early : 0.41, detection : 0, improving : 0.35, clinical : 0.58, decision : 0.51, making : 0, patient : 0, care : 0.65 |
| 82. body | 114 words | 0.63 | systematic : 0.45, literature : 0, review : 0, advancements : 0.44, in : 0, skin : 0, cancer : 0, diagnosis : 0.45, using : 0, convolutional : 0.44, neural : 0, networks : 0.46, and : 0.53, dermatoscopic : 0.38, imaging : 0, this : 0, study : 0.63, conducts : 0.58, a : 0, slr : 0, to : 0.58, analyze : 0.46, the : 0, application : 0, of : 0.58, cnn : 0, automated : 0.45, diagnostic : 0.4, systems : 0.46, for : 0.53, images : 0, examines : 0, methods : 0, architectures : 0, datasets : 0.46, used : 0.5, recent : 0, studies : 0.46, focusing : 0.46, on : 0.58, their : 0, accuracy : 0, efficiency : 0, limitations : 0, it : 0, highlights : 0, adoption : 0.42, models : 0.61, such : 0, as : 0, googlenet : 0.45, resnet : 0, 50 : 0, yolov8 : 0.47, which : 0, have : 0, achieved : 0, levels : 0, exceeding : 0.45, 90 : 0, demonstrating : 0.38, capability : 0.45, cnns : 0, distinguishing : 0.44, between : 0.52, benign : 0.52, malignant : 0, lesions : 0, findings : 0.46, reveal : 0, that : 0, while : 0, offer : 0.48, high : 0, precision : 0, recall : 0, challenges : 0, remain : 0, terms : 0, overfitting : 0.45, dataset : 0.46, diversity : 0.45, computational : 0.44, cost : 0.5, underscores : 0.45, need : 0.5, larger : 0, more : 0.5, balanced : 0.51, advanced : 0.46, augmentation : 0, techniques : 0, optimized : 0.45, enhance : 0, model : 0.63, generalizability : 0, research : 0, aims : 0, contribute : 0.45, development : 0.39, robust : 0.44, efficient : 0, accessible : 0, ai : 0, based : 0.54, tools : 0.48, early : 0.48, detection : 0.45, improving : 0.45, clinical : 0, decision : 0.46, making : 0, patient : 0, care : 0 |
| 83. class | 114 words | 0.68 | systematic : 0.52, literature : 0.53, review : 0, advancements : 0.36, in : 0, skin : 0, cancer : 0.62, diagnosis : 0.54, using : 0, convolutional : 0.57, neural : 0.46, networks : 0.44, and : 0, dermatoscopic : 0.52, imaging : 0.45, this : 0.48, study : 0, conducts : 0.6, a : 0, slr : 0.51, to : 0, analyze : 0.4, the : 0, application : 0.36, of : 0, cnn : 0.56, automated : 0.44, diagnostic : 0.53, systems : 0.56, for : 0, images : 0.58, examines : 0.55, methods : 0.45, architectures : 0.35, datasets : 0.66, used : 0, recent : 0.46, studies : 0.45, focusing : 0.55, on : 0, their : 0, accuracy : 0.38, efficiency : 0.43, limitations : 0.53, it : 0, highlights : 0.43, adoption : 0.44, models : 0.46, such : 0, as : 0, googlenet : 0.44, resnet : 0.46, 50 : 0, yolov8 : 0.46, which : 0, have : 0.48, achieved : 0.38, levels : 0.58, exceeding : 0.44, 90 : 0, demonstrating : 0.43, capability : 0.58, cnns : 0.67, distinguishing : 0.51, between : 0, benign : 0, malignant : 0.37, lesions : 0.68, findings : 0.44, reveal : 0.46, that : 0.48, while : 0, offer : 0, high : 0, precision : 0.54, recall : 0.58, challenges : 0.57, remain : 0.46, terms : 0.47, overfitting : 0, dataset : 0.56, diversity : 0.44, computational : 0.57, cost : 0.67, underscores : 0.43, need : 0, larger : 0.58, more : 0, balanced : 0.38, advanced : 0.44, augmentation : 0.43, techniques : 0.43, optimized : 0, enhance : 0.45, model : 0, generalizability : 0.34, research : 0.38, aims : 0.48, contribute : 0.49, development : 0.43, robust : 0.46, efficient : 0, accessible : 0.65, ai : 0, based : 0.6, tools : 0.47, early : 0.47, detection : 0, improving : 0, clinical : 0.64, decision : 0.55, making : 0.46, patient : 0.45, care : 0.67 |
| 84. boxed | 114 words | 0.76 | systematic : 0.43, literature : 0.43, review : 0.46, advancements : 0.36, in : 0, skin : 0, cancer : 0.46, diagnosis : 0, using : 0, convolutional : 0.43, neural : 0.46, networks : 0.38, and : 0, dermatoscopic : 0.5, imaging : 0, this : 0, study : 0.47, conducts : 0.55, a : 0, slr : 0, to : 0.57, analyze : 0, the : 0.51, application : 0, of : 0.57, cnn : 0, automated : 0.44, diagnostic : 0.37, systems : 0.45, for : 0.51, images : 0.46, examines : 0.38, methods : 0.56, architectures : 0.43, datasets : 0.44, used : 0.63, recent : 0.46, studies : 0.4, focusing : 0.44, on : 0.57, their : 0.47, accuracy : 0, efficiency : 0.43, limitations : 0, it : 0, highlights : 0, adoption : 0.38, models : 0.59, such : 0, as : 0, googlenet : 0.54, resnet : 0.46, 50 : 0, yolov8 : 0.46, which : 0, have : 0.48, achieved : 0.55, levels : 0.46, exceeding : 0.53, 90 : 0, demonstrating : 0.5, capability : 0.43, cnns : 0, distinguishing : 0.42, between : 0.61, benign : 0.62, malignant : 0, lesions : 0.45, findings : 0.44, reveal : 0.46, that : 0, while : 0.47, offer : 0.6, high : 0, precision : 0.44, recall : 0.46, challenges : 0.43, remain : 0.46, terms : 0, overfitting : 0.53, dataset : 0.45, diversity : 0.44, computational : 0.43, cost : 0.48, underscores : 0.36, need : 0.63, larger : 0.46, more : 0.63, balanced : 0.69, advanced : 0.38, augmentation : 0.43, techniques : 0.43, optimized : 0.44, enhance : 0, model : 0.6, generalizability : 0.42, research : 0.44, aims : 0, contribute : 0.43, development : 0.51, robust : 0.41, efficient : 0.44, accessible : 0.43, ai : 0, based : 0.76, tools : 0.47, early : 0, detection : 0.44, improving : 0.44, clinical : 0, decision : 0.44, making : 0, patient : 0.45, care : 0.48 |
| 85. bg | 114 words | 0.61 | systematic : 0, literature : 0, review : 0, advancements : 0, in : 0, skin : 0, cancer : 0, diagnosis : 0.54, using : 0, convolutional : 0, neural : 0, networks : 0, and : 0, dermatoscopic : 0, imaging : 0.55, this : 0, study : 0, conducts : 0, a : 0, slr : 0, to : 0, analyze : 0, the : 0, application : 0, of : 0, cnn : 0, automated : 0, diagnostic : 0.53, systems : 0, for : 0, images : 0.56, examines : 0, methods : 0, architectures : 0, datasets : 0, used : 0, recent : 0, studies : 0, focusing : 0, on : 0, their : 0, accuracy : 0, efficiency : 0, limitations : 0, it : 0, highlights : 0.53, adoption : 0, models : 0, such : 0, as : 0, googlenet : 0.54, resnet : 0, 50 : 0, yolov8 : 0, which : 0, have : 0, achieved : 0, levels : 0, exceeding : 0, 90 : 0, demonstrating : 0, capability : 0.53, cnns : 0, distinguishing : 0.52, between : 0.59, benign : 0.6, malignant : 0.54, lesions : 0, findings : 0, reveal : 0, that : 0, while : 0, offer : 0, high : 0.58, precision : 0, recall : 0, challenges : 0, remain : 0, terms : 0, overfitting : 0, dataset : 0, diversity : 0, computational : 0, cost : 0, underscores : 0, need : 0, larger : 0.56, more : 0, balanced : 0.59, advanced : 0, augmentation : 0.53, techniques : 0, optimized : 0, enhance : 0, model : 0, generalizability : 0.52, research : 0, aims : 0, contribute : 0, development : 0, robust : 0.56, efficient : 0, accessible : 0, ai : 0, based : 0.61, tools : 0, early : 0, detection : 0, improving : 0, clinical : 0, decision : 0, making : 0, patient : 0, care : 0 |
| 86. this | 114 words | 1 | systematic : 0.4, literature : 0.4, review : 0.47, advancements : 0, in : 0, skin : 0.5, cancer : 0, diagnosis : 0.57, using : 0.48, convolutional : 0, neural : 0, networks : 0.46, and : 0, dermatoscopic : 0.55, imaging : 0.46, this : 1, study : 0.48, conducts : 0, a : 0, slr : 0, to : 0.63, analyze : 0, the : 0.78, application : 0.45, of : 0, cnn : 0, automated : 0.45, diagnostic : 0.57, systems : 0.46, for : 0, images : 0.61, examines : 0.46, methods : 0.6, architectures : 0.49, datasets : 0.58, used : 0, recent : 0, studies : 0.6, focusing : 0.42, on : 0, their : 0.83, accuracy : 0, efficiency : 0.45, limitations : 0.39, it : 0.58, highlights : 0.57, adoption : 0.46, models : 0.47, such : 0, as : 0, googlenet : 0, resnet : 0.47, 50 : 0, yolov8 : 0, which : 0.63, have : 0.5, achieved : 0.58, levels : 0.47, exceeding : 0, 90 : 0, demonstrating : 0.44, capability : 0.45, cnns : 0.5, distinguishing : 0.49, between : 0.46, benign : 0.47, malignant : 0.45, lesions : 0.43, findings : 0.46, reveal : 0, that : 0.73, while : 0.63, offer : 0, high : 0.67, precision : 0.57, recall : 0, challenges : 0.45, remain : 0.47, terms : 0.67, overfitting : 0.45, dataset : 0.6, diversity : 0.57, computational : 0.44, cost : 0.5, underscores : 0.45, need : 0, larger : 0, more : 0, balanced : 0, advanced : 0, augmentation : 0, techniques : 0.71, optimized : 0.57, enhance : 0.46, model : 0, generalizability : 0.44, research : 0.46, aims : 0.67, contribute : 0.57, development : 0, robust : 0.47, efficient : 0.45, accessible : 0.4, ai : 0.58, based : 0.48, tools : 0.67, early : 0, detection : 0.45, improving : 0.45, clinical : 0.46, decision : 0.58, making : 0.47, patient : 0.6, care : 0 |
| 87. load | 114 words | 0.65 | systematic : 0.45, literature : 0.61, review : 0, advancements : 0.56, in : 0, skin : 0, cancer : 0.47, diagnosis : 0.41, using : 0, convolutional : 0.38, neural : 0.47, networks : 0.46, and : 0.53, dermatoscopic : 0.55, imaging : 0.46, this : 0, study : 0.48, conducts : 0.58, a : 0, slr : 0.53, to : 0.58, analyze : 0.46, the : 0, application : 0.39, of : 0.58, cnn : 0, automated : 0.41, diagnostic : 0.57, systems : 0, for : 0.53, images : 0.47, examines : 0.46, methods : 0.46, architectures : 0.44, datasets : 0.42, used : 0.5, recent : 0, studies : 0.46, focusing : 0.46, on : 0.58, their : 0, accuracy : 0.46, efficiency : 0, limitations : 0.6, it : 0, highlights : 0.45, adoption : 0.54, models : 0.61, such : 0, as : 0, googlenet : 0.45, resnet : 0, 50 : 0, yolov8 : 0.44, which : 0, have : 0.5, achieved : 0.46, levels : 0.52, exceeding : 0.45, 90 : 0, demonstrating : 0.38, capability : 0.45, cnns : 0, distinguishing : 0.44, between : 0, benign : 0, malignant : 0.41, lesions : 0.52, findings : 0.46, reveal : 0.47, that : 0.5, while : 0, offer : 0.48, high : 0, precision : 0, recall : 0.47, challenges : 0.4, remain : 0.47, terms : 0, overfitting : 0.45, dataset : 0.46, diversity : 0.45, computational : 0.55, cost : 0.5, underscores : 0.45, need : 0.5, larger : 0.65, more : 0.5, balanced : 0.42, advanced : 0.58, augmentation : 0.44, techniques : 0, optimized : 0.45, enhance : 0.46, model : 0.63, generalizability : 0.38, research : 0.46, aims : 0, contribute : 0.45, development : 0.51, robust : 0.47, efficient : 0, accessible : 0.45, ai : 0, based : 0.63, tools : 0.48, early : 0.48, detection : 0.45, improving : 0.45, clinical : 0.46, decision : 0.46, making : 0.47, patient : 0.46, care : 0.5 |
| 88. view | 114 words | 0.76 | systematic : 0.45, literature : 0.57, review : 0.76, advancements : 0.56, in : 0.58, skin : 0.5, cancer : 0.47, diagnosis : 0.45, using : 0.48, convolutional : 0.44, neural : 0.47, networks : 0.58, and : 0, dermatoscopic : 0.44, imaging : 0.46, this : 0.5, study : 0, conducts : 0, a : 0, slr : 0, to : 0, analyze : 0, the : 0.53, application : 0.45, of : 0, cnn : 0, automated : 0, diagnostic : 0.45, systems : 0.46, for : 0, images : 0.61, examines : 0.42, methods : 0.46, architectures : 0.55, datasets : 0.46, used : 0.5, recent : 0.47, studies : 0, focusing : 0, on : 0, their : 0.48, accuracy : 0, efficiency : 0.4, limitations : 0.45, it : 0.58, highlights : 0.45, adoption : 0, models : 0.47, such : 0, as : 0, googlenet : 0.45, resnet : 0.47, 50 : 0, yolov8 : 0, which : 0.48, have : 0.5, achieved : 0.58, levels : 0.44, exceeding : 0.45, 90 : 0, demonstrating : 0.44, capability : 0.45, cnns : 0, distinguishing : 0.44, between : 0.6, benign : 0.44, malignant : 0.45, lesions : 0.43, findings : 0.46, reveal : 0.44, that : 0, while : 0.48, offer : 0.48, high : 0.5, precision : 0.41, recall : 0.47, challenges : 0.45, remain : 0.47, terms : 0.48, overfitting : 0.56, dataset : 0, diversity : 0.58, computational : 0, cost : 0, underscores : 0.45, need : 0.5, larger : 0.47, more : 0.5, balanced : 0, advanced : 0.46, augmentation : 0.44, techniques : 0.4, optimized : 0.45, enhance : 0.46, model : 0.48, generalizability : 0.38, research : 0.46, aims : 0.5, contribute : 0.45, development : 0.39, robust : 0, efficient : 0.41, accessible : 0.45, ai : 0.58, based : 0.48, tools : 0, early : 0, detection : 0.45, improving : 0.45, clinical : 0.46, decision : 0.42, making : 0.47, patient : 0.6, care : 0.5 |
| 89. inc | 114 words | 0.91 | systematic : 0, literature : 0.48, review : 0, advancements : 0.61, in : 0.91, skin : 0, cancer : 0.5, diagnosis : 0.63, using : 0, convolutional : 0.44, neural : 0.5, networks : 0.49, and : 0.56, dermatoscopic : 0, imaging : 0.54, this : 0, study : 0, conducts : 0.47, a : 0, slr : 0, to : 0, analyze : 0.49, the : 0, application : 0.62, of : 0, cnn : 0.56, automated : 0, diagnostic : 0.62, systems : 0, for : 0, images : 0.55, examines : 0, methods : 0, architectures : 0.44, datasets : 0, used : 0, recent : 0.5, studies : 0, focusing : 0.49, on : 0.61, their : 0, accuracy : 0.49, efficiency : 0.62, limitations : 0.47, it : 0.65, highlights : 0.48, adoption : 0, models : 0, such : 0.53, as : 0, googlenet : 0, resnet : 0.5, 50 : 0, yolov8 : 0, which : 0.51, have : 0, achieved : 0.47, levels : 0, exceeding : 0.48, 90 : 0, demonstrating : 0.47, capability : 0.48, cnns : 0.53, distinguishing : 0.6, between : 0, benign : 0.5, malignant : 0.48, lesions : 0, findings : 0.64, reveal : 0, that : 0, while : 0, offer : 0, high : 0.53, precision : 0.48, recall : 0.5, challenges : 0.48, remain : 0, terms : 0, overfitting : 0, dataset : 0, diversity : 0.48, computational : 0.47, cost : 0, underscores : 0.62, need : 0.53, larger : 0, more : 0, balanced : 0.64, advanced : 0.64, augmentation : 0.47, techniques : 0.46, optimized : 0.48, enhance : 0.49, model : 0, generalizability : 0.43, research : 0, aims : 0.53, contribute : 0.46, development : 0, robust : 0, efficient : 0.63, accessible : 0.48, ai : 0, based : 0, tools : 0, early : 0, detection : 0.48, improving : 0.53, clinical : 0.63, decision : 0.47, making : 0, patient : 0, care : 0 |
| 90. nav | 114 words | 0.72 | systematic : 0, literature : 0.48, review : 0.5, advancements : 0.58, in : 0, skin : 0, cancer : 0.5, diagnosis : 0.48, using : 0, convolutional : 0.61, neural : 0.55, networks : 0.54, and : 0, dermatoscopic : 0.47, imaging : 0.49, this : 0, study : 0, conducts : 0.49, a : 0, slr : 0, to : 0, analyze : 0.48, the : 0, application : 0.47, of : 0, cnn : 0, automated : 0.48, diagnostic : 0.46, systems : 0, for : 0, images : 0.5, examines : 0.49, methods : 0, architectures : 0.47, datasets : 0.49, used : 0, recent : 0, studies : 0, focusing : 0, on : 0, their : 0, accuracy : 0.49, efficiency : 0, limitations : 0.47, it : 0, highlights : 0, adoption : 0.49, models : 0, such : 0, as : 0, googlenet : 0, resnet : 0, 50 : 0, yolov8 : 0.5, which : 0, have : 0.72, achieved : 0.64, levels : 0.5, exceeding : 0, 90 : 0, demonstrating : 0.47, capability : 0.48, cnns : 0.53, distinguishing : 0.47, between : 0, benign : 0.5, malignant : 0.48, lesions : 0, findings : 0.49, reveal : 0.5, that : 0.53, while : 0, offer : 0, high : 0, precision : 0, recall : 0.5, challenges : 0.48, remain : 0.5, terms : 0, overfitting : 0.47, dataset : 0.49, diversity : 0.48, computational : 0.47, cost : 0, underscores : 0.47, need : 0.58, larger : 0.5, more : 0, balanced : 0.49, advanced : 0.64, augmentation : 0.44, techniques : 0.48, optimized : 0, enhance : 0.65, model : 0, generalizability : 0.6, research : 0.49, aims : 0.53, contribute : 0.48, development : 0.47, robust : 0, efficient : 0, accessible : 0.48, ai : 0, based : 0.51, tools : 0, early : 0.51, detection : 0, improving : 0.48, clinical : 0.49, decision : 0, making : 0.5, patient : 0.49, care : 0.53 |
| 91. echo | 114 words | 0.73 | systematic : 0.45, literature : 0.45, review : 0.47, advancements : 0.44, in : 0, skin : 0, cancer : 0.47, diagnosis : 0.45, using : 0, convolutional : 0.55, neural : 0.47, networks : 0.58, and : 0, dermatoscopic : 0.55, imaging : 0, this : 0.5, study : 0, conducts : 0.58, a : 0, slr : 0, to : 0, analyze : 0, the : 0.53, application : 0.45, of : 0, cnn : 0.53, automated : 0.45, diagnostic : 0.45, systems : 0, for : 0, images : 0, examines : 0.51, methods : 0.73, architectures : 0.55, datasets : 0, used : 0, recent : 0.61, studies : 0, focusing : 0.42, on : 0, their : 0.48, accuracy : 0.46, efficiency : 0.61, limitations : 0, it : 0, highlights : 0.45, adoption : 0.46, models : 0.47, such : 0.67, as : 0, googlenet : 0.45, resnet : 0.47, 50 : 0, yolov8 : 0.47, which : 0.48, have : 0, achieved : 0.58, levels : 0.47, exceeding : 0.62, 90 : 0, demonstrating : 0.55, capability : 0.45, cnns : 0.5, distinguishing : 0, between : 0.46, benign : 0.47, malignant : 0, lesions : 0.6, findings : 0, reveal : 0.47, that : 0.5, while : 0.48, offer : 0, high : 0.5, precision : 0.57, recall : 0.61, challenges : 0.57, remain : 0.47, terms : 0.48, overfitting : 0.39, dataset : 0, diversity : 0.45, computational : 0.55, cost : 0.5, underscores : 0.56, need : 0.5, larger : 0, more : 0, balanced : 0, advanced : 0, augmentation : 0.44, techniques : 0.68, optimized : 0.45, enhance : 0.64, model : 0, generalizability : 0.44, research : 0.46, aims : 0, contribute : 0.57, development : 0.56, robust : 0.47, efficient : 0.62, accessible : 0.4, ai : 0, based : 0, tools : 0.48, early : 0.54, detection : 0.57, improving : 0.45, clinical : 0.46, decision : 0.71, making : 0, patient : 0, care : 0.5 |
| 92. session | 114 words | 0.74 | systematic : 0.62, literature : 0.33, review : 0.54, advancements : 0.32, in : 0, skin : 0.64, cancer : 0, diagnosis : 0.55, using : 0.56, convolutional : 0.39, neural : 0.44, networks : 0.51, and : 0, dermatoscopic : 0.44, imaging : 0.52, this : 0.43, study : 0.5, conducts : 0, a : 0, slr : 0.54, to : 0, analyze : 0, the : 0.49, application : 0.57, of : 0, cnn : 0, automated : 0.42, diagnostic : 0.53, systems : 0.57, for : 0, images : 0.44, examines : 0.6, methods : 0.52, architectures : 0.31, datasets : 0.42, used : 0.6, recent : 0.54, studies : 0.57, focusing : 0.6, on : 0, their : 0.56, accuracy : 0, efficiency : 0.58, limitations : 0.57, it : 0, highlights : 0.41, adoption : 0.49, models : 0.54, such : 0.52, as : 0.55, googlenet : 0.5, resnet : 0.37, 50 : 0, yolov8 : 0.44, which : 0.45, have : 0.46, achieved : 0.35, levels : 0.54, exceeding : 0.59, 90 : 0, demonstrating : 0.46, capability : 0.41, cnns : 0.46, distinguishing : 0.49, between : 0.52, benign : 0.64, malignant : 0.5, lesions : 0.74, findings : 0.51, reveal : 0.44, that : 0, while : 0.45, offer : 0.45, high : 0, precision : 0.69, recall : 0.44, challenges : 0.5, remain : 0.64, terms : 0.56, overfitting : 0.57, dataset : 0.43, diversity : 0.42, computational : 0.44, cost : 0.46, underscores : 0.57, need : 0.46, larger : 0, more : 0.46, balanced : 0.42, advanced : 0.42, augmentation : 0.51, techniques : 0.47, optimized : 0.42, enhance : 0.52, model : 0.45, generalizability : 0.43, research : 0.35, aims : 0.46, contribute : 0.41, development : 0.57, robust : 0.44, efficient : 0.59, accessible : 0.57, ai : 0, based : 0.56, tools : 0.45, early : 0.45, detection : 0.67, improving : 0.48, clinical : 0.51, decision : 0.71, making : 0.54, patient : 0.52, care : 0.46 |
| 93. flashdata | 114 words | 0.74 | systematic : 0.38, literature : 0.54, review : 0, advancements : 0.59, in : 0, skin : 0.45, cancer : 0.43, diagnosis : 0.48, using : 0.44, convolutional : 0.41, neural : 0.43, networks : 0, and : 0.63, dermatoscopic : 0.42, imaging : 0.42, this : 0.41, study : 0.54, conducts : 0.49, a : 0.7, slr : 0.46, to : 0, analyze : 0.34, the : 0.48, application : 0.52, of : 0.54, cnn : 0, automated : 0.5, diagnostic : 0.54, systems : 0.42, for : 0.53, images : 0.52, examines : 0.41, methods : 0.42, architectures : 0.52, datasets : 0.56, used : 0.57, recent : 0.43, studies : 0.5, focusing : 0.54, on : 0, their : 0.44, accuracy : 0.49, efficiency : 0.4, limitations : 0.42, it : 0, highlights : 0.43, adoption : 0.49, models : 0.44, such : 0.57, as : 0.74, googlenet : 0.48, resnet : 0.52, 50 : 0, yolov8 : 0.43, which : 0.44, have : 0.45, achieved : 0.57, levels : 0.52, exceeding : 0.41, 90 : 0, demonstrating : 0.42, capability : 0.54, cnns : 0.45, distinguishing : 0.41, between : 0, benign : 0, malignant : 0.55, lesions : 0.5, findings : 0.54, reveal : 0.43, that : 0.41, while : 0.37, offer : 0.44, high : 0.45, precision : 0.41, recall : 0.35, challenges : 0.43, remain : 0.43, terms : 0.44, overfitting : 0.47, dataset : 0.59, diversity : 0.48, computational : 0.41, cost : 0.45, underscores : 0.3, need : 0.45, larger : 0.52, more : 0, balanced : 0.48, advanced : 0.46, augmentation : 0.42, techniques : 0.4, optimized : 0.41, enhance : 0.34, model : 0.37, generalizability : 0.48, research : 0.46, aims : 0.57, contribute : 0.4, development : 0.47, robust : 0.52, efficient : 0.48, accessible : 0.47, ai : 0.54, based : 0.64, tools : 0.54, early : 0.37, detection : 0.41, improving : 0, clinical : 0.49, decision : 0.41, making : 0.43, patient : 0.5, care : 0.45 |
| 94. pesen | 114 words | 0.74 | systematic : 0.37, literature : 0.43, review : 0.58, advancements : 0.51, in : 0, skin : 0.48, cancer : 0.41, diagnosis : 0.44, using : 0.6, convolutional : 0.43, neural : 0.46, networks : 0.44, and : 0, dermatoscopic : 0.52, imaging : 0.45, this : 0.48, study : 0, conducts : 0.44, a : 0, slr : 0, to : 0, analyze : 0, the : 0.51, application : 0.43, of : 0, cnn : 0, automated : 0, diagnostic : 0.37, systems : 0.56, for : 0, images : 0.46, examines : 0.55, methods : 0.45, architectures : 0.43, datasets : 0.55, used : 0.47, recent : 0.7, studies : 0.56, focusing : 0.55, on : 0, their : 0.47, accuracy : 0, efficiency : 0.63, limitations : 0, it : 0, highlights : 0, adoption : 0.55, models : 0.46, such : 0, as : 0.57, googlenet : 0.54, resnet : 0.74, 50 : 0, yolov8 : 0, which : 0, have : 0.48, achieved : 0.55, levels : 0.58, exceeding : 0.64, 90 : 0, demonstrating : 0.5, capability : 0.43, cnns : 0.48, distinguishing : 0.51, between : 0.68, benign : 0.58, malignant : 0.44, lesions : 0.68, findings : 0.44, reveal : 0.58, that : 0, while : 0.47, offer : 0.47, high : 0, precision : 0.68, recall : 0.46, challenges : 0.53, remain : 0.58, terms : 0.47, overfitting : 0.43, dataset : 0.56, diversity : 0.54, computational : 0.43, cost : 0.48, underscores : 0.46, need : 0.63, larger : 0.46, more : 0.48, balanced : 0.38, advanced : 0.38, augmentation : 0.52, techniques : 0.53, optimized : 0.44, enhance : 0.56, model : 0.47, generalizability : 0.48, research : 0.66, aims : 0.48, contribute : 0.43, development : 0.53, robust : 0.46, efficient : 0.64, accessible : 0.53, ai : 0, based : 0.6, tools : 0, early : 0.47, detection : 0.54, improving : 0.54, clinical : 0.44, decision : 0.66, making : 0.46, patient : 0.71, care : 0.48 |
| 95. unset | 114 words | 0.81 | systematic : 0.52, literature : 0.37, review : 0.46, advancements : 0.52, in : 0.57, skin : 0, cancer : 0.58, diagnosis : 0.44, using : 0.64, convolutional : 0.52, neural : 0.53, networks : 0.66, and : 0.51, dermatoscopic : 0.44, imaging : 0, this : 0.48, study : 0, conducts : 0.55, a : 0, slr : 0, to : 0, analyze : 0.45, the : 0.51, application : 0.43, of : 0, cnn : 0.51, automated : 0.54, diagnostic : 0.63, systems : 0.57, for : 0, images : 0.46, examines : 0.44, methods : 0.56, architectures : 0.35, datasets : 0.49, used : 0.8, recent : 0.58, studies : 0.57, focusing : 0.55, on : 0.57, their : 0.47, accuracy : 0.44, efficiency : 0.43, limitations : 0.43, it : 0, highlights : 0.43, adoption : 0.44, models : 0.46, such : 0.48, as : 0.57, googlenet : 0.44, resnet : 0.74, 50 : 0, yolov8 : 0, which : 0, have : 0.48, achieved : 0.44, levels : 0.46, exceeding : 0.44, 90 : 0, demonstrating : 0.58, capability : 0.43, cnns : 0.63, distinguishing : 0.44, between : 0.56, benign : 0.41, malignant : 0, lesions : 0.4, findings : 0.44, reveal : 0.46, that : 0.48, while : 0.47, offer : 0.47, high : 0, precision : 0.37, recall : 0.46, challenges : 0.43, remain : 0.46, terms : 0, overfitting : 0.53, dataset : 0.51, diversity : 0.53, computational : 0.52, cost : 0.63, underscores : 0.71, need : 0.63, larger : 0.46, more : 0.48, balanced : 0.55, advanced : 0.55, augmentation : 0.63, techniques : 0.52, optimized : 0.44, enhance : 0.45, model : 0.47, generalizability : 0.34, research : 0.38, aims : 0.48, contribute : 0.53, development : 0.43, robust : 0.58, efficient : 0.44, accessible : 0.37, ai : 0, based : 0.6, tools : 0, early : 0, detection : 0.54, improving : 0, clinical : 0.44, decision : 0.38, making : 0, patient : 0.4, care : 0.48 |
| 96. form | 114 words | 0.94 | systematic : 0.45, literature : 0.45, review : 0.47, advancements : 0.44, in : 0, skin : 0, cancer : 0, diagnosis : 0, using : 0, convolutional : 0.44, neural : 0.47, networks : 0.58, and : 0, dermatoscopic : 0.49, imaging : 0.46, this : 0, study : 0, conducts : 0.46, a : 0, slr : 0.53, to : 0.58, analyze : 0, the : 0, application : 0, of : 0.67, cnn : 0, automated : 0.57, diagnostic : 0.45, systems : 0.46, for : 0.94, images : 0.47, examines : 0.46, methods : 0, architectures : 0.44, datasets : 0, used : 0, recent : 0.47, studies : 0, focusing : 0.67, on : 0.58, their : 0, accuracy : 0.46, efficiency : 0.45, limitations : 0.45, it : 0, highlights : 0, adoption : 0.46, models : 0.47, such : 0, as : 0, googlenet : 0.45, resnet : 0.47, 50 : 0, yolov8 : 0.47, which : 0, have : 0, achieved : 0, levels : 0, exceeding : 0, 90 : 0, demonstrating : 0.49, capability : 0, cnns : 0, distinguishing : 0, between : 0, benign : 0, malignant : 0.45, lesions : 0, findings : 0.51, reveal : 0.47, that : 0, while : 0, offer : 0.47, high : 0, precision : 0.45, recall : 0.47, challenges : 0, remain : 0.61, terms : 0.63, overfitting : 0.51, dataset : 0, diversity : 0.45, computational : 0.55, cost : 0.5, underscores : 0.45, need : 0, larger : 0.47, more : 0.67, balanced : 0, advanced : 0, augmentation : 0.44, techniques : 0, optimized : 0.57, enhance : 0, model : 0.48, generalizability : 0.44, research : 0.46, aims : 0.5, contribute : 0.57, development : 0.56, robust : 0.44, efficient : 0.45, accessible : 0, ai : 0, based : 0, tools : 0.48, early : 0.48, detection : 0, improving : 0.58, clinical : 0, decision : 0, making : 0, patient : 0, care : 0.5 |
| 97. method | 114 words | 0.97 | systematic : 0.34, literature : 0.34, review : 0.44, advancements : 0.33, in : 0, skin : 0, cancer : 0, diagnosis : 0.43, using : 0, convolutional : 0.33, neural : 0.44, networks : 0.63, and : 0, dermatoscopic : 0.61, imaging : 0.44, this : 0.61, study : 0.58, conducts : 0.53, a : 0, slr : 0, to : 0.56, analyze : 0, the : 0.67, application : 0, of : 0, cnn : 0, automated : 0.61, diagnostic : 0.42, systems : 0.44, for : 0, images : 0.44, examines : 0.36, methods : 0.97, architectures : 0.47, datasets : 0.43, used : 0.61, recent : 0.44, studies : 0.54, focusing : 0.43, on : 0, their : 0.53, accuracy : 0, efficiency : 0.42, limitations : 0.59, it : 0.56, highlights : 0.42, adoption : 0.36, models : 0.6, such : 0.47, as : 0, googlenet : 0.43, resnet : 0.44, 50 : 0, yolov8 : 0.44, which : 0.46, have : 0.47, achieved : 0.51, levels : 0.44, exceeding : 0.52, 90 : 0, demonstrating : 0.64, capability : 0, cnns : 0, distinguishing : 0.33, between : 0.54, benign : 0.44, malignant : 0.48, lesions : 0.54, findings : 0.43, reveal : 0.44, that : 0.61, while : 0.46, offer : 0.46, high : 0.47, precision : 0.52, recall : 0.44, challenges : 0.34, remain : 0.39, terms : 0.41, overfitting : 0.42, dataset : 0.44, diversity : 0.43, computational : 0.41, cost : 0.47, underscores : 0.42, need : 0.61, larger : 0, more : 0.65, balanced : 0.43, advanced : 0.43, augmentation : 0.58, techniques : 0.49, optimized : 0.52, enhance : 0.54, model : 0.62, generalizability : 0.41, research : 0.43, aims : 0.47, contribute : 0.34, development : 0.51, robust : 0, efficient : 0.43, accessible : 0.42, ai : 0, based : 0.58, tools : 0.58, early : 0.46, detection : 0.61, improving : 0.52, clinical : 0, decision : 0.53, making : 0.5, patient : 0.44, care : 0.47 |
| 98. post | 114 words | 0.83 | systematic : 0.57, literature : 0.45, review : 0, advancements : 0, in : 0, skin : 0, cancer : 0, diagnosis : 0, using : 0.48, convolutional : 0.55, neural : 0, networks : 0.42, and : 0, dermatoscopic : 0.49, imaging : 0, this : 0.5, study : 0, conducts : 0.58, a : 0, slr : 0, to : 0.58, analyze : 0, the : 0, application : 0.56, of : 0.58, cnn : 0, automated : 0.41, diagnostic : 0.68, systems : 0.6, for : 0.53, images : 0, examines : 0, methods : 0.46, architectures : 0.44, datasets : 0.42, used : 0.5, recent : 0.47, studies : 0.6, focusing : 0.58, on : 0.58, their : 0, accuracy : 0, efficiency : 0, limitations : 0.45, it : 0, highlights : 0, adoption : 0.6, models : 0.47, such : 0, as : 0.58, googlenet : 0.45, resnet : 0.61, 50 : 0, yolov8 : 0.47, which : 0, have : 0, achieved : 0, levels : 0, exceeding : 0, 90 : 0, demonstrating : 0.66, capability : 0.45, cnns : 0.5, distinguishing : 0.55, between : 0.46, benign : 0, malignant : 0, lesions : 0.46, findings : 0, reveal : 0, that : 0.5, while : 0, offer : 0.48, high : 0, precision : 0.62, recall : 0, challenges : 0, remain : 0, terms : 0, overfitting : 0.56, dataset : 0.43, diversity : 0.45, computational : 0.55, cost : 0.83, underscores : 0.45, need : 0, larger : 0, more : 0.5, balanced : 0, advanced : 0, augmentation : 0.44, techniques : 0.45, optimized : 0.58, enhance : 0, model : 0.48, generalizability : 0, research : 0.46, aims : 0.5, contribute : 0.57, development : 0.45, robust : 0.75, efficient : 0, accessible : 0.45, ai : 0, based : 0.48, tools : 0.48, early : 0, detection : 0.45, improving : 0.57, clinical : 0, decision : 0.46, making : 0, patient : 0.64, care : 0 |
| 99. action | 114 words | 0.8 | systematic : 0.42, literature : 0.34, review : 0.44, advancements : 0.52, in : 0, skin : 0.61, cancer : 0.39, diagnosis : 0.54, using : 0.58, convolutional : 0.61, neural : 0, networks : 0.53, and : 0.55, dermatoscopic : 0.58, imaging : 0.64, this : 0.61, study : 0.46, conducts : 0.63, a : 0.75, slr : 0, to : 0.56, analyze : 0.49, the : 0.5, application : 0.53, of : 0, cnn : 0.5, automated : 0.65, diagnostic : 0.52, systems : 0.44, for : 0, images : 0.44, examines : 0.63, methods : 0.54, architectures : 0.62, datasets : 0.53, used : 0, recent : 0.56, studies : 0.54, focusing : 0.6, on : 0, their : 0.58, accuracy : 0.62, efficiency : 0.49, limitations : 0.59, it : 0.56, highlights : 0.42, adoption : 0.75, models : 0, such : 0.47, as : 0.6, googlenet : 0.52, resnet : 0.44, 50 : 0, yolov8 : 0.44, which : 0.41, have : 0.47, achieved : 0.7, levels : 0, exceeding : 0.61, 90 : 0, demonstrating : 0.41, capability : 0.49, cnns : 0.47, distinguishing : 0.46, between : 0.54, benign : 0.56, malignant : 0.61, lesions : 0.64, findings : 0.53, reveal : 0, that : 0.44, while : 0.46, offer : 0, high : 0.47, precision : 0.7, recall : 0.44, challenges : 0.49, remain : 0.56, terms : 0.46, overfitting : 0.59, dataset : 0.54, diversity : 0.43, computational : 0.64, cost : 0.61, underscores : 0.34, need : 0, larger : 0.44, more : 0, balanced : 0.53, advanced : 0.58, augmentation : 0.52, techniques : 0.52, optimized : 0.52, enhance : 0.44, model : 0, generalizability : 0.4, research : 0, aims : 0.65, contribute : 0.64, development : 0.51, robust : 0, efficient : 0.5, accessible : 0.68, ai : 0.8, based : 0.46, tools : 0.58, early : 0.46, detection : 0.73, improving : 0.61, clinical : 0.63, decision : 0.72, making : 0.67, patient : 0.75, care : 0.44 |
| 100. card | 114 words | 0.88 | systematic : 0, literature : 0.4, review : 0.47, advancements : 0.5, in : 0, skin : 0, cancer : 0.69, diagnosis : 0.41, using : 0, convolutional : 0.5, neural : 0.47, networks : 0.46, and : 0.72, dermatoscopic : 0.55, imaging : 0.46, this : 0, study : 0.48, conducts : 0.63, a : 0.75, slr : 0.53, to : 0, analyze : 0.46, the : 0, application : 0.45, of : 0, cnn : 0.58, automated : 0.45, diagnostic : 0.4, systems : 0, for : 0.53, images : 0.47, examines : 0.46, methods : 0.46, architectures : 0.49, datasets : 0.42, used : 0.5, recent : 0.44, studies : 0.46, focusing : 0.46, on : 0, their : 0, accuracy : 0.6, efficiency : 0.45, limitations : 0.45, it : 0, highlights : 0, adoption : 0.58, models : 0.47, such : 0, as : 0.58, googlenet : 0, resnet : 0.47, 50 : 0, yolov8 : 0, which : 0, have : 0.5, achieved : 0.42, levels : 0, exceeding : 0.57, 90 : 0, demonstrating : 0.38, capability : 0.65, cnns : 0.55, distinguishing : 0.44, between : 0, benign : 0, malignant : 0.45, lesions : 0, findings : 0.46, reveal : 0.47, that : 0.5, while : 0, offer : 0, high : 0, precision : 0.41, recall : 0.58, challenges : 0.61, remain : 0.44, terms : 0.48, overfitting : 0.45, dataset : 0.46, diversity : 0.41, computational : 0.6, cost : 0.55, underscores : 0.39, need : 0.5, larger : 0.61, more : 0.5, balanced : 0.46, advanced : 0.58, augmentation : 0.44, techniques : 0.45, optimized : 0, enhance : 0.46, model : 0.48, generalizability : 0.38, research : 0.42, aims : 0.5, contribute : 0.61, development : 0.45, robust : 0.47, efficient : 0, accessible : 0.4, ai : 0.58, based : 0.63, tools : 0, early : 0.63, detection : 0.45, improving : 0.45, clinical : 0.51, decision : 0.42, making : 0.47, patient : 0.46, care : 0.88 |
| 101. similarity | 114 words | 0.79 | systematic : 0.64, literature : 0.53, review : 0.42, advancements : 0.41, in : 0.53, skin : 0.61, cancer : 0.51, diagnosis : 0.43, using : 0.53, convolutional : 0.34, neural : 0.49, networks : 0.41, and : 0, dermatoscopic : 0.46, imaging : 0.57, this : 0.4, study : 0.49, conducts : 0.41, a : 0, slr : 0.79, to : 0, analyze : 0.33, the : 0, application : 0.52, of : 0, cnn : 0, automated : 0.54, diagnostic : 0.52, systems : 0.55, for : 0.48, images : 0.6, examines : 0.45, methods : 0.41, architectures : 0.44, datasets : 0.45, used : 0.45, recent : 0.42, studies : 0.55, focusing : 0.48, on : 0, their : 0.53, accuracy : 0.45, efficiency : 0.53, limitations : 0.61, it : 0.53, highlights : 0.52, adoption : 0.32, models : 0.51, such : 0.51, as : 0.53, googlenet : 0.47, resnet : 0.51, 50 : 0, yolov8 : 0.42, which : 0.43, have : 0.45, achieved : 0.41, levels : 0.42, exceeding : 0.4, 90 : 0, demonstrating : 0.55, capability : 0.68, cnns : 0.45, distinguishing : 0.49, between : 0, benign : 0.42, malignant : 0.59, lesions : 0.41, findings : 0.48, reveal : 0.34, that : 0.45, while : 0.53, offer : 0.43, high : 0.45, precision : 0.47, recall : 0.34, challenges : 0.3, remain : 0.43, terms : 0.52, overfitting : 0.42, dataset : 0.47, diversity : 0.62, computational : 0.49, cost : 0.45, underscores : 0.4, need : 0, larger : 0.6, more : 0.57, balanced : 0.32, advanced : 0.41, augmentation : 0.41, techniques : 0.4, optimized : 0.54, enhance : 0.41, model : 0.53, generalizability : 0.62, research : 0.56, aims : 0.52, contribute : 0.42, development : 0.46, robust : 0.51, efficient : 0.54, accessible : 0.53, ai : 0.53, based : 0.37, tools : 0.37, early : 0.47, detection : 0.31, improving : 0.53, clinical : 0.55, decision : 0.45, making : 0.43, patient : 0.47, care : 0.57 |
| 102. checker | 114 words | 0.73 | systematic : 0.41, literature : 0.47, review : 0.54, advancements : 0.56, in : 0, skin : 0, cancer : 0.7, diagnosis : 0, using : 0, convolutional : 0.47, neural : 0.44, networks : 0.49, and : 0, dermatoscopic : 0.44, imaging : 0, this : 0.46, study : 0, conducts : 0.56, a : 0, slr : 0, to : 0, analyze : 0.43, the : 0.65, application : 0.41, of : 0, cnn : 0.54, automated : 0.42, diagnostic : 0, systems : 0.43, for : 0, images : 0.44, examines : 0.51, methods : 0.36, architectures : 0.53, datasets : 0.42, used : 0.46, recent : 0.53, studies : 0.43, focusing : 0.42, on : 0, their : 0.68, accuracy : 0.6, efficiency : 0.47, limitations : 0, it : 0, highlights : 0.41, adoption : 0, models : 0.44, such : 0.6, as : 0, googlenet : 0.5, resnet : 0.54, 50 : 0, yolov8 : 0, which : 0.56, have : 0.6, achieved : 0.69, levels : 0.54, exceeding : 0.48, 90 : 0, demonstrating : 0.48, capability : 0.47, cnns : 0.52, distinguishing : 0, between : 0.52, benign : 0.44, malignant : 0, lesions : 0.43, findings : 0, reveal : 0.54, that : 0.46, while : 0.56, offer : 0.56, high : 0.46, precision : 0.34, recall : 0.37, challenges : 0.73, remain : 0.44, terms : 0.45, overfitting : 0.49, dataset : 0.43, diversity : 0.5, computational : 0.47, cost : 0.52, underscores : 0.52, need : 0.46, larger : 0.54, more : 0.46, balanced : 0.51, advanced : 0.51, augmentation : 0.41, techniques : 0.53, optimized : 0.42, enhance : 0.63, model : 0.45, generalizability : 0.54, research : 0.57, aims : 0, contribute : 0.52, development : 0.49, robust : 0, efficient : 0.59, accessible : 0.57, ai : 0, based : 0.45, tools : 0, early : 0.45, detection : 0.48, improving : 0.42, clinical : 0.56, decision : 0.35, making : 0.44, patient : 0.43, care : 0.64 |
| 103. input | 114 words | 0.84 | systematic : 0.43, literature : 0.52, review : 0, advancements : 0.43, in : 0.84, skin : 0, cancer : 0.46, diagnosis : 0.54, using : 0, convolutional : 0.61, neural : 0.58, networks : 0.55, and : 0.51, dermatoscopic : 0.43, imaging : 0.5, this : 0, study : 0.47, conducts : 0.66, a : 0, slr : 0, to : 0, analyze : 0.45, the : 0, application : 0.51, of : 0, cnn : 0.51, automated : 0.54, diagnostic : 0.63, systems : 0.45, for : 0, images : 0.51, examines : 0, methods : 0.45, architectures : 0.52, datasets : 0.44, used : 0, recent : 0.46, studies : 0.45, focusing : 0.44, on : 0.57, their : 0, accuracy : 0.44, efficiency : 0.43, limitations : 0.53, it : 0.61, highlights : 0.53, adoption : 0.55, models : 0, such : 0, as : 0, googlenet : 0, resnet : 0.58, 50 : 0, yolov8 : 0, which : 0, have : 0, achieved : 0.44, levels : 0, exceeding : 0, 90 : 0, demonstrating : 0.52, capability : 0.53, cnns : 0.48, distinguishing : 0.57, between : 0.45, benign : 0.46, malignant : 0.44, lesions : 0, findings : 0.55, reveal : 0, that : 0.48, while : 0, offer : 0, high : 0.48, precision : 0.44, recall : 0, challenges : 0, remain : 0, terms : 0, overfitting : 0.43, dataset : 0.45, diversity : 0.54, computational : 0.61, cost : 0.48, underscores : 0.36, need : 0.48, larger : 0, more : 0, balanced : 0.44, advanced : 0.44, augmentation : 0.51, techniques : 0.47, optimized : 0.48, enhance : 0.45, model : 0, generalizability : 0.34, research : 0, aims : 0.48, contribute : 0.52, development : 0.43, robust : 0.58, efficient : 0.44, accessible : 0, ai : 0.57, based : 0, tools : 0, early : 0, detection : 0.44, improving : 0.59, clinical : 0.55, decision : 0.44, making : 0, patient : 0.56, care : 0 |
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| 116. submit | 114 words | 0.69 | systematic : 0.61, literature : 0.51, review : 0.44, advancements : 0.5, in : 0, skin : 0.65, cancer : 0, diagnosis : 0.43, using : 0.59, convolutional : 0.47, neural : 0.44, networks : 0.43, and : 0, dermatoscopic : 0.5, imaging : 0.54, this : 0.47, study : 0.62, conducts : 0.53, a : 0, slr : 0.55, to : 0, analyze : 0, the : 0, application : 0.51, of : 0, cnn : 0, automated : 0.5, diagnostic : 0.51, systems : 0.58, for : 0, images : 0.44, examines : 0.53, methods : 0, architectures : 0.5, datasets : 0.43, used : 0.44, recent : 0.44, studies : 0.68, focusing : 0.53, on : 0, their : 0.46, accuracy : 0.43, efficiency : 0.42, limitations : 0.48, it : 0, highlights : 0.51, adoption : 0.36, models : 0, such : 0.69, as : 0.56, googlenet : 0.43, resnet : 0.56, 50 : 0, yolov8 : 0, which : 0.46, have : 0, achieved : 0.43, levels : 0, exceeding : 0.43, 90 : 0, demonstrating : 0.47, capability : 0.6, cnns : 0, distinguishing : 0.48, between : 0.44, benign : 0.56, malignant : 0.61, lesions : 0.54, findings : 0.43, reveal : 0, that : 0.47, while : 0.46, offer : 0, high : 0, precision : 0.43, recall : 0, challenges : 0, remain : 0.56, terms : 0.46, overfitting : 0.51, dataset : 0.44, diversity : 0.52, computational : 0.49, cost : 0.61, underscores : 0.42, need : 0, larger : 0, more : 0, balanced : 0.43, advanced : 0, augmentation : 0.58, techniques : 0.42, optimized : 0.5, enhance : 0, model : 0, generalizability : 0.41, research : 0.43, aims : 0.47, contribute : 0.49, development : 0.42, robust : 0.56, efficient : 0.52, accessible : 0.51, ai : 0, based : 0.41, tools : 0, early : 0, detection : 0.35, improving : 0.52, clinical : 0.43, decision : 0.43, making : 0.44, patient : 0.54, care : 0 |
| 117. cekin | 114 words | 0.78 | systematic : 0.43, literature : 0.37, review : 0.58, advancements : 0.45, in : 0, skin : 0.78, cancer : 0.62, diagnosis : 0.54, using : 0.6, convolutional : 0.55, neural : 0.46, networks : 0.44, and : 0, dermatoscopic : 0.43, imaging : 0.56, this : 0.48, study : 0, conducts : 0.6, a : 0, slr : 0, to : 0, analyze : 0, the : 0.51, application : 0.43, of : 0, cnn : 0.56, automated : 0, diagnostic : 0.53, systems : 0, for : 0, images : 0, examines : 0.66, methods : 0.45, architectures : 0.5, datasets : 0, used : 0.48, recent : 0.59, studies : 0.45, focusing : 0.66, on : 0, their : 0.6, accuracy : 0.44, efficiency : 0.61, limitations : 0.43, it : 0, highlights : 0.43, adoption : 0.55, models : 0.46, such : 0, as : 0, googlenet : 0.44, resnet : 0.58, 50 : 0, yolov8 : 0, which : 0.47, have : 0, achieved : 0.55, levels : 0.46, exceeding : 0.66, 90 : 0, demonstrating : 0.52, capability : 0.58, cnns : 0.54, distinguishing : 0.51, between : 0.56, benign : 0.59, malignant : 0.54, lesions : 0.68, findings : 0.55, reveal : 0.46, that : 0, while : 0.47, offer : 0, high : 0, precision : 0.53, recall : 0.41, challenges : 0.67, remain : 0.7, terms : 0.47, overfitting : 0.53, dataset : 0, diversity : 0.37, computational : 0.57, cost : 0.54, underscores : 0.36, need : 0.48, larger : 0, more : 0, balanced : 0.44, advanced : 0.44, augmentation : 0.52, techniques : 0.57, optimized : 0.44, enhance : 0.56, model : 0, generalizability : 0.48, research : 0.44, aims : 0, contribute : 0.57, development : 0.43, robust : 0, efficient : 0.64, accessible : 0.63, ai : 0, based : 0, tools : 0, early : 0.47, detection : 0.54, improving : 0.54, clinical : 0.69, decision : 0.68, making : 0.7, patient : 0.56, care : 0.54 |
| 118. value | 114 words | 0.73 | systematic : 0.43, literature : 0.57, review : 0.58, advancements : 0.51, in : 0, skin : 0, cancer : 0.58, diagnosis : 0.44, using : 0, convolutional : 0.61, neural : 0.46, networks : 0.44, and : 0.51, dermatoscopic : 0.35, imaging : 0.45, this : 0, study : 0.47, conducts : 0.44, a : 0.73, slr : 0.51, to : 0, analyze : 0.68, the : 0, application : 0.53, of : 0, cnn : 0, automated : 0.64, diagnostic : 0.43, systems : 0.45, for : 0, images : 0.58, examines : 0.55, methods : 0, architectures : 0.52, datasets : 0.55, used : 0, recent : 0.46, studies : 0.56, focusing : 0.44, on : 0, their : 0, accuracy : 0.55, efficiency : 0.43, limitations : 0.36, it : 0, highlights : 0.43, adoption : 0.44, models : 0.41, such : 0, as : 0.57, googlenet : 0.54, resnet : 0.46, 50 : 0, yolov8 : 0.46, which : 0, have : 0.63, achieved : 0.55, levels : 0.59, exceeding : 0.44, 90 : 0, demonstrating : 0.43, capability : 0.53, cnns : 0, distinguishing : 0.42, between : 0.45, benign : 0, malignant : 0.54, lesions : 0.45, findings : 0, reveal : 0.58, that : 0.48, while : 0.6, offer : 0.47, high : 0, precision : 0.44, recall : 0.58, challenges : 0.63, remain : 0.46, terms : 0, overfitting : 0.53, dataset : 0.56, diversity : 0.54, computational : 0.35, cost : 0, underscores : 0.53, need : 0, larger : 0.59, more : 0.48, balanced : 0.66, advanced : 0.55, augmentation : 0.62, techniques : 0.37, optimized : 0.44, enhance : 0.56, model : 0.47, generalizability : 0.43, research : 0.38, aims : 0.48, contribute : 0.43, development : 0.46, robust : 0.46, efficient : 0.44, accessible : 0.53, ai : 0.57, based : 0.6, tools : 0.47, early : 0.6, detection : 0.44, improving : 0, clinical : 0.44, decision : 0.44, making : 0.46, patient : 0.56, care : 0.63 |
| 119. dark | 114 words | 0.75 | systematic : 0, literature : 0.4, review : 0.47, advancements : 0.39, in : 0, skin : 0, cancer : 0.47, diagnosis : 0.62, using : 0, convolutional : 0, neural : 0.47, networks : 0.58, and : 0.53, dermatoscopic : 0.59, imaging : 0.46, this : 0, study : 0, conducts : 0.46, a : 0.75, slr : 0.53, to : 0, analyze : 0.46, the : 0, application : 0.45, of : 0, cnn : 0, automated : 0.45, diagnostic : 0.61, systems : 0, for : 0.53, images : 0.47, examines : 0.46, methods : 0, architectures : 0.55, datasets : 0.67, used : 0, recent : 0.47, studies : 0, focusing : 0, on : 0, their : 0, accuracy : 0.58, efficiency : 0, limitations : 0.45, it : 0, highlights : 0, adoption : 0.42, models : 0.47, such : 0, as : 0.58, googlenet : 0, resnet : 0.47, 50 : 0, yolov8 : 0, which : 0, have : 0.5, achieved : 0.46, levels : 0, exceeding : 0, 90 : 0, demonstrating : 0.6, capability : 0.45, cnns : 0, distinguishing : 0.5, between : 0, benign : 0, malignant : 0.45, lesions : 0, findings : 0.46, reveal : 0.47, that : 0.5, while : 0, offer : 0, high : 0, precision : 0.45, recall : 0.44, challenges : 0.45, remain : 0.44, terms : 0.48, overfitting : 0.45, dataset : 0.68, diversity : 0.62, computational : 0.44, cost : 0, underscores : 0.56, need : 0, larger : 0.61, more : 0.5, balanced : 0.46, advanced : 0.42, augmentation : 0.44, techniques : 0, optimized : 0, enhance : 0.46, model : 0, generalizability : 0.38, research : 0.42, aims : 0.5, contribute : 0.45, development : 0.5, robust : 0.47, efficient : 0, accessible : 0.45, ai : 0.58, based : 0.48, tools : 0, early : 0.63, detection : 0.51, improving : 0.45, clinical : 0, decision : 0.51, making : 0.61, patient : 0.46, care : 0.67 |
| 120. float | 114 words | 0.72 | systematic : 0.37, literature : 0.52, review : 0, advancements : 0.43, in : 0, skin : 0, cancer : 0.46, diagnosis : 0.37, using : 0, convolutional : 0.5, neural : 0.46, networks : 0.38, and : 0, dermatoscopic : 0.44, imaging : 0.45, this : 0, study : 0, conducts : 0.55, a : 0, slr : 0.51, to : 0.57, analyze : 0.4, the : 0, application : 0.51, of : 0.57, cnn : 0, automated : 0.48, diagnostic : 0.52, systems : 0.45, for : 0.72, images : 0.46, examines : 0.44, methods : 0.4, architectures : 0.52, datasets : 0.55, used : 0, recent : 0.46, studies : 0, focusing : 0.6, on : 0, their : 0, accuracy : 0.44, efficiency : 0.43, limitations : 0.51, it : 0, highlights : 0.53, adoption : 0.55, models : 0.46, such : 0, as : 0, googlenet : 0.37, resnet : 0.46, 50 : 0, yolov8 : 0.41, which : 0, have : 0, achieved : 0.44, levels : 0.46, exceeding : 0, 90 : 0, demonstrating : 0.5, capability : 0.53, cnns : 0, distinguishing : 0.42, between : 0.45, benign : 0, malignant : 0.37, lesions : 0.56, findings : 0.5, reveal : 0.46, that : 0.63, while : 0, offer : 0.47, high : 0, precision : 0, recall : 0.46, challenges : 0.37, remain : 0.46, terms : 0, overfitting : 0.51, dataset : 0.56, diversity : 0.44, computational : 0.5, cost : 0.63, underscores : 0, need : 0, larger : 0.58, more : 0.48, balanced : 0.38, advanced : 0.44, augmentation : 0.52, techniques : 0.43, optimized : 0.54, enhance : 0.45, model : 0.47, generalizability : 0.34, research : 0.44, aims : 0, contribute : 0.53, development : 0.53, robust : 0.58, efficient : 0.44, accessible : 0.43, ai : 0, based : 0, tools : 0.47, early : 0, detection : 0.44, improving : 0.44, clinical : 0.55, decision : 0, making : 0.46, patient : 0.56, care : 0 |
| 121. right | 114 words | 0.78 | systematic : 0.43, literature : 0.47, review : 0.62, advancements : 0, in : 0.57, skin : 0.48, cancer : 0, diagnosis : 0.54, using : 0.47, convolutional : 0.43, neural : 0, networks : 0.44, and : 0, dermatoscopic : 0.52, imaging : 0.56, this : 0.48, study : 0, conducts : 0.44, a : 0, slr : 0, to : 0, analyze : 0, the : 0, application : 0.53, of : 0, cnn : 0, automated : 0.44, diagnostic : 0.63, systems : 0.45, for : 0, images : 0.58, examines : 0.44, methods : 0.4, architectures : 0.62, datasets : 0.44, used : 0, recent : 0.62, studies : 0, focusing : 0, on : 0, their : 0, accuracy : 0, efficiency : 0.43, limitations : 0.53, it : 0.57, highlights : 0.61, adoption : 0.44, models : 0, such : 0.48, as : 0, googlenet : 0.44, resnet : 0.62, 50 : 0, yolov8 : 0, which : 0.6, have : 0, achieved : 0.38, levels : 0, exceeding : 0, 90 : 0, demonstrating : 0.43, capability : 0.53, cnns : 0, distinguishing : 0.49, between : 0.45, benign : 0.58, malignant : 0.54, lesions : 0.45, findings : 0.44, reveal : 0.51, that : 0.48, while : 0.47, offer : 0, high : 0.78, precision : 0.54, recall : 0.51, challenges : 0.43, remain : 0.51, terms : 0, overfitting : 0.62, dataset : 0.45, diversity : 0.54, computational : 0.43, cost : 0.48, underscores : 0.43, need : 0, larger : 0.58, more : 0, balanced : 0, advanced : 0, augmentation : 0.52, techniques : 0.52, optimized : 0.37, enhance : 0.45, model : 0, generalizability : 0.43, research : 0.5, aims : 0.48, contribute : 0.47, development : 0, robust : 0.62, efficient : 0.44, accessible : 0, ai : 0.57, based : 0, tools : 0, early : 0, detection : 0.44, improving : 0.37, clinical : 0.44, decision : 0.44, making : 0.46, patient : 0.4, care : 0 |
| 122. footer | 114 words | 0.74 | systematic : 0.51, literature : 0.6, review : 0.44, advancements : 0.42, in : 0, skin : 0, cancer : 0.56, diagnosis : 0.43, using : 0, convolutional : 0.58, neural : 0.44, networks : 0.64, and : 0, dermatoscopic : 0.49, imaging : 0, this : 0, study : 0.46, conducts : 0.53, a : 0, slr : 0, to : 0.56, analyze : 0.44, the : 0.5, application : 0.42, of : 0.61, cnn : 0, automated : 0.5, diagnostic : 0.51, systems : 0.54, for : 0.73, images : 0.44, examines : 0.43, methods : 0.37, architectures : 0.41, datasets : 0.53, used : 0.47, recent : 0.39, studies : 0.54, focusing : 0.62, on : 0.56, their : 0.58, accuracy : 0.43, efficiency : 0.34, limitations : 0.42, it : 0.56, highlights : 0, adoption : 0.53, models : 0.56, such : 0, as : 0, googlenet : 0.61, resnet : 0.39, 50 : 0, yolov8 : 0.56, which : 0, have : 0.47, achieved : 0.43, levels : 0.44, exceeding : 0.43, 90 : 0, demonstrating : 0.53, capability : 0, cnns : 0, distinguishing : 0.41, between : 0.54, benign : 0, malignant : 0, lesions : 0.44, findings : 0.49, reveal : 0.44, that : 0.47, while : 0.46, offer : 0.74, high : 0, precision : 0.43, recall : 0, challenges : 0.42, remain : 0, terms : 0, overfitting : 0.6, dataset : 0.54, diversity : 0.52, computational : 0.5, cost : 0.61, underscores : 0.51, need : 0.47, larger : 0.56, more : 0.61, balanced : 0.43, advanced : 0.43, augmentation : 0.33, techniques : 0.51, optimized : 0.61, enhance : 0.44, model : 0.58, generalizability : 0.49, research : 0.53, aims : 0, contribute : 0.6, development : 0.34, robust : 0.56, efficient : 0.52, accessible : 0.42, ai : 0, based : 0.46, tools : 0.58, early : 0, detection : 0.35, improving : 0.35, clinical : 0, decision : 0.43, making : 0, patient : 0.54, care : 0.47 |
Average Result
75.04%
0.75041559419633