Vunnam Narmada, Kalavala Asish Vardhan

HybridDermNet: A CNN–Transformer Framework with Latent Bottleneck Learning for Robust Skin Cancer Classification

A CNN–Transformer-based framework with latent bottleneck learning for robust multi-class skin cancer classification is proposed, which offers compact, interpretable and generalizable representations for reliable dermatology decision support in heterogeneous imaging conditions.