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This PR adds the configuration file STARC9.yaml for the STARC-9 colorectal histopathology dataset, enabling compatibility with existing evaluation pipelines.
Summary of dataset:
Dataset: STARC-9
Domain: Computational pathology (colorectal tissue classification)
Number of classes: 9 tissue categories
Image resolution: 256 × 256
Microns per pixel (MPP): 0.5
Cancer type: Colorectal
Total samples:
Train: 630,000
Validation: 540,000
Test: 20,000
Tissue classes:
ADI (adipose tissue), LYM (lymphoid tissue), MUC (mucin), MUS (muscle), NCS (necrosis), NOR (normal mucosa), BLD (blood), FCT (fibroconnective tissue), TUM (tumor)