HIGHLIGHTS
- What: In the methodology for skin cancer detection, the authors explore recent advancements in machine_learning (ML) and image processing techniques that have been applied to enhance accuracy and efficiency in skin cancer classification. This approach shows that combining CNN`s feature extraction capabilities with traditional classifiers can improve model robustness, especially for early melanoma detection . This model shows the potential for mHealth solutions, allowing individuals to monitor skin lesions through mobile devices, thus expanding access to diagnostics for underserved communities.
- Who: user from the developed CNN model performed better than the previous models, especially when . . .
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