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CORRECTION article

Front. Pharmacol., 24 July 2025

Sec. Gastrointestinal and Hepatic Pharmacology

Volume 16 - 2025 | https://doi.org/10.3389/fphar.2025.1666330

Correction: A pathology-attention multi-instance learning framework for multimodal classification of colorectal lesions

This article is a correction to:

  1. A Pathology-Attention Multi-Instance Learning Framework for Multimodal Classification of Colorectal Lesions

    1. Read original article
Fanglei Fu&#x;Fanglei Fu1†Xuemei Zhang&#x;Xuemei Zhang2†Zhaoxuan Wang&#x;Zhaoxuan Wang3†Luxi XieLuxi Xie2Mingxi FuMingxi Fu1Jing PengJing Peng1Jianfeng WuJianfeng Wu4Zhe WangZhe Wang4Tian GuanTian Guan1Yonghong HeYonghong He1Jin-Shun Lin Jin-Shun Lin1*Lianghui Zhu Lianghui Zhu1*Wenbin Dai Wenbin Dai2*
  • 1Department of Life and Health, Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong, China
  • 2Department of Pathology, Liuzhou People’s Hospital Affiliated to Guangxi Medical University, Liuzhou, Guangxi, China
  • 3Department of Statistics and Data Science, Washington University in St. Louis, St. Louis, MO, United States
  • 4State Key Laboratory of Cancer Biology, Department of Pathology, Xijing Hospital and School of Basic Medicine, Fourth Military Medical University, Xi’an, China

A Correction on
A pathology-attention multi-instance learning framework for multimodal classification of colorectal lesions

by 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). Front. Pharmacol. 16:1592950. doi: 10.3389/fphar.2025.1592950

In the published article, author “Xuemei Zhang” name was erroneously spelled as “Xeimei Zhang.”

The original version of this article has been updated.

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.

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

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, bGluLmppbnNodW5Ac3oudHNpbmdodWEuZWR1LmNu; Lianghui Zhu, emh1bGhAbWFpbC50c2luZ2h1YS5lZHUuY24=; Wenbin Dai, ZGFpd2VuYmluMTk3M0AxNjMuY29t

†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.