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Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification
April 30, 2024, 4:48 a.m. | Yunlong Zhang, Honglin Li, Yuxuan Sun, Sunyi Zheng, Chenglu Zhu, Lin Yang
cs.CV updates on arXiv.org arxiv.org
Abstract: In the application of Multiple Instance Learning (MIL) methods for Whole Slide Image (WSI) classification, attention mechanisms often focus on a subset of discriminative instances, which are closely linked to overfitting. To mitigate overfitting, we present Attention-Challenging MIL (ACMIL). ACMIL combines two techniques based on separate analyses for attention value concentration. Firstly, UMAP of instance features reveals various patterns among discriminative instances, with existing attention mechanisms capturing only some of them. To remedy this, we …
arxiv attention classification cs.cv image instance multiple type
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