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.
Deep learning for automated detection of breast cancer in deep ultravi- olet fluorescence images with diffusion probabilistic model
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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.