Open access
Sep 2026
Hybrid CNN–BiLSTM with Multi-Transformer Stacking for Skin Lesion Classification
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, SwinV2, and BEiT) for global representation learning is proposed.
Maryem Zahid, Mohammed Rziza, Rachid Alaoui
· BioMedInformatics · 0 citations