A Transformer with a loosely defined multi-scale attention weighting is reported to achieve 89.5% accuracy on ISIC 2017 skin lesion classification.
Conditional adversarial segmentation and deep learning approach for skin lesion sub-typing from dermoscopic images,
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Multi-Scale Transformer Architecture for Accurate Medical Image Classification
A Transformer with a loosely defined multi-scale attention weighting is reported to achieve 89.5% accuracy on ISIC 2017 skin lesion classification.