An interpretable skin cancer detection and classification framework using meta-heuristic driven symmetric convolution-based adaptive MobileNet with LSTM layer.
Skin cancer requires early and accurate detection for effective treatment. Automated image analysis can help identify skin lesions and support clinical diagnosis. This study aims to develop an efficient framework for accurate skin cancer detection using lesion segmentation, deep learning, and optimization. Skin lesion...