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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Bibliographic Details

Published in:	Bioinformatics (Oxford, England) Vol. 41; no. 2
Main Authors:	Mao, Jinyang, Xu, Junlin, Tang, Xianfang, Liu, Yongjin, Zhao, Heaven, Tian, Geng, Yang, Jialiang
Format:	Journal Article
Language:	English
Published:	England Oxford University Press 04.02.2025
Subjects:	Algorithms Computational Biology - methods Humans Image Processing, Computer-Assisted - methods Multiple-Instance Learning Algorithms
ISSN:	1367-4811, 1367-4811
Online Access:	Get full text
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