Automated Multi-Class Skin Cancer Classification Using Vision Transformers
Automated analysis of dermoscopic images can support the assessment of skin lesions; however, reliable multi-class classification remains challenging due to visual similarity among diagnoses, class imbalance, and variations across image sources. This study presents a Vision Transformer (ViT-B/16)-based pipeline for sev...