Hybrid Deep Learning Framework for Melanoma Diagnosis Using Dermoscopic Medical Images.

Melanoma, or skin cancer, is a dangerous form of cancer that is the major cause of the demise of thousands of people around the world. In recent years, deep learning has become more popular for analyzing and detecting these medical issues. In this paper, a hybrid deep learning approach has been proposed based on U-Net for image segmentation, Inception-ResNet-v2 for feature extraction, and the Vision Transformer model with a self-attention mechanism for refining the features for early and accurate diagnosis and classification of skin cancer.