A novel Region-Affinity Attention mechanism classifies breast cancer on whole deep ultraviolet slides, achieving 92.67% accuracy and 95.97% AUC on 136 samples while outperforming standard attention methods.
Breast Cancer Classification in Deep Ultraviolet Fluorescence Images Using a Patch- Level Vision Transformer Framework
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Region-Affinity Attention for Whole-Slide Breast Cancer Classification in Deep Ultraviolet Imaging
A novel Region-Affinity Attention mechanism classifies breast cancer on whole deep ultraviolet slides, achieving 92.67% accuracy and 95.97% AUC on 136 samples while outperforming standard attention methods.