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What is Skin Lesion Diagnosis Using Transformers about?

The study investigates the use of Vision Transformer (ViT), Swin Transformer, and Medical Vision Transformer (MedViT) for automated skin lesion classification, demonstrating that the Swin Transformer achieves the highest accuracy at 93.18%. Utilizing two datasets, HAM10000 and MSLDv2.0, the research emphasizes the importance of early and accurate skin cancer diagnosis and the potential of transformer-based models to enhance clinical decision support systems. The findings suggest that these advanced architec

Author

sacadibrata

Language

EN