Prediction of microsatellite instability in colorectal cancer based on tissue phenotypes inferred from pathological whole slide images using self-distillation.

Abstract excerpt

The application of Multiple Instance Learning (MIL) for classifying Whole Slide Images (WSIs) has gained extensive use in recent years, primarily due to the high cost and time consumption associated with pixel-level annotation of WSIs, which is challenging to accomplish. The advancements in MIL for WSIs have predominantly concentrated on two fronts: the development of superior feature extractors (for instance,...

Topics

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• Colorectal Neoplasms
• Image Interpretation, Computer-Assisted
• Microsatellite Instability
• Phenotype