HybridDermNet: A CNN–Transformer Framework with Latent Bottleneck Learning for Robust Skin Cancer Classification
The classification of skin lesions from dermoscopic and clinical images remains challenging due to visually similar lesion categories, variability in image acquisition, class imbalance, and limited cross-dataset generalisation, which can undermine the reliability of diagnostic results. Current CNN-based approaches are...