In the published article, author “Xuemei Zhang” name was erroneously spelled as “Xeimei Zhang.”
The original version of this article has been updated.
Statements
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Summary
Keywords
multimodal learning, weakly supervised learning, whole slide image classification, pathology attention, colorectal cancer
Citation
Fu F, Zhang X, Wang Z, Xie L, Fu M, Peng J, Wu J, Wang Z, Guan T, He Y, Lin J-S, Zhu L and Dai W (2025) Correction: A pathology-attention multi-instance learning framework for multimodal classification of colorectal lesions. Front. Pharmacol. 16:1666330. doi: 10.3389/fphar.2025.1666330
Received
15 July 2025
Accepted
16 July 2025
Published
24 July 2025
Approved by
Frontiers Editorial Office, Frontiers Media SA, Switzerland
Volume
16 - 2025
Updates
Copyright
© 2025 Fu, Zhang, Wang, Xie, Fu, Peng, Wu, Wang, Guan, He, Lin, Zhu and Dai.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Jin-Shun Lin, lin.jinshun@sz.tsinghua.edu.cn; Lianghui Zhu, zhulh@mail.tsinghua.edu.cn; Wenbin Dai, daiwenbin1973@163.com
†These authors have contributed equally to this work
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.