CAMIL: channel attention-based multiple instance learning for whole slide image classification

Motivation The classification task based on whole-slide images (WSIs) is a classic problem in computational pathology. Multiple instance learning (MIL) provides a robust framework for analyzing whole slide images with slide-level labels at gigapixel resolution. However, existing MIL models typically...

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Vydané v:	Bioinformatics (Oxford, England) Ročník 41; číslo 2
Hlavní autori:	Mao, Jinyang, Xu, Junlin, Tang, Xianfang, Liu, Yongjin, Zhao, Heaven, Tian, Geng, Yang, Jialiang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England Oxford University Press 04.02.2025
Predmet:	Algorithms Computational Biology - methods Humans Image Processing, Computer-Assisted - methods Multiple-Instance Learning Algorithms
ISSN:	1367-4811, 1367-4811
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