Mohammed Rziza

Hybrid CNN–BiLSTM with Multi-Transformer Stacking for Skin Lesion Classification

Skin cancer is one of the most common diseases worldwide and, if left untreated, it can be life threatening. In this work, we propose a dual-branch deep learning framework that integrates a CNN–BiLSTM module for local spatial–sequential feature modeling with multiple transformer models (ViT, DeiT, SwinV2, and BEiT) for...