SEW combines a thumbnail-level graph classifier with a focus predictor and local detail branch to classify whole-slide pathology images quickly, and uses clustered features to propose new prognostic tumor markers.
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SEW: Self-calibration Enhanced Whole Slide Pathology Image Analysis
SEW combines a thumbnail-level graph classifier with a focus predictor and local detail branch to classify whole-slide pathology images quickly, and uses clustered features to propose new prognostic tumor markers.