FECT fuses cell, tissue, and edge features, achieving 65.8% weighted F1 on the seven-class BRACS breast cancer classification benchmark.
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FECT: Classification of Breast Cancer Pathological Images Based on Fusion Features
FECT fuses cell, tissue, and edge features, achieving 65.8% weighted F1 on the seven-class BRACS breast cancer classification benchmark.