An Explainable Hybrid Deep Learning Framework Integrating SepConv2D, DenseNet121, and Vision Transformer for Automated Skin Lesion Classification
Early and accurate diagnosis of skin lesions is essential for reducing the mortality associated with skin cancer and improving patient outcomes. Although deep learning has significantly advanced automated dermatological diagnosis, existing approaches often struggle to simultaneously achieve high classification accuracy...