An Explainable Hybrid Deep Learning Framework Integrating SepConv2D, DenseNet121, and Vision Transformer for Automated Skin Lesion Classification
Comparative evaluation against recent state-of-the-art methods indicates that the proposed framework consistently achieves superior predictive performance and enhanced interpretability, and demonstrates that the proposed architecture can serve as an efficient and trustworthy computer-aided diagnostic tool for supportin...