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most citedMicroMIL: Graph-Based Multiple Instance Learning for Context-Aware Diagnosis with Microscopic Images

2 citations · 3 across the 5 of their papers we have counts for

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cs.CV2024★ 1 cited

Rethinking Pre-Trained Feature Extractor Selection in Multiple Instance Learning for Whole Slide Image Classification

Bryan Wong, Sungrae Hong, Mun Yong Yi

Multiple instance learning (MIL) has become a preferred method for gigapixel whole slide image (WSI) classification without requiring patch-level annotations. Current MIL research…

cs.CV2024★ 2 cited

MicroMIL: Graph-Based Multiple Instance Learning for Context-Aware Diagnosis with Microscopic Images

Jongwoo Kim, Bryan Wong, Huazhu Fu +3

Cancer diagnosis has greatly benefited from the integration of whole-slide images (WSIs) with multiple instance learning (MIL), enabling high-resolution analysis of tissue morpholo…