MIL-Adapter: Few-shot Slide-Level Classification

github.com/cvblab/mil-adapter
Machine learning
Tool

MIL-Adapter is a novel framework designed for few-shot slide-level classification in computational pathology. It combines Multiple Instance Learning (MIL) aggregation functions with lightweight vision-language adapters to process Whole Slide Images (WSIs) for cancer diagnosis.

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