A novel multimodal deep learning architecture integrating a multi-scale gated residual block and soft attention for skin lesion classification | Synapse
March 3, 2026
A novel multimodal deep learning architecture integrating a multi-scale gated residual block and soft attention for skin lesion classification
Key Points
Improved skin lesion classification accuracy indicates the model's potential effectiveness in clinical settings.
An accuracy rate of 95% for skin lesion classification was achieved using the proposed model.
Multimodal deep learning architecture with multi-scale gated residual blocks was employed for classifications.
The findings highlight the potential for advanced neural networks to aid in dermatological diagnostics.