Correction: Objective interpretation of intrapartum cardiotocography images using attention-guided convolutional neural networks

The affiliations were erroneously given as 1Department of Obstetrics, West China Longquan Hospital Sichuan University, The First People's Hospital of Longquanyi District Chengdu, Chengdu, Sichuan, China; 2Faculty of Science, Civil Aviation Flight University of China, Chengdu, Sichuan, China.

The correct affiliations are as follows.

1Faculty of Science, Civil Aviation Flight University of China, Chengdu, Sichuan, China; 2Department of Obstetrics, West China Longquan Hospital Sichuan University, The First People's Hospital of Longquanyi District Chengdu, Chengdu, Sichuan, China

Corresponding author

Author Chunxia Lin was erroneously missed being assigned as corresponding author. The correct corresponding authors are Chunxia Lin, 986138020@qq.com and Qingshan You, youqingshan@cafuc.edu.cn.

The original version of this article has been updated.

StatementsPublisher’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

CBAM, computer vision, deep learning, efficient net, electronic fetal monitoring, fetal status classification, intrapartum monitoring

Citation

Zhou X, Qiu T, Lin C, Zhou J, Jiang S, Wang L, Feng L, Wang X and You Q (2026) Correction: Objective interpretation of intrapartum cardiotocography images using attention-guided convolutional neural networks. Front. Pediatr. 14:1846046. doi: 10.3389/fped.2026.1846046

Received

02 April 2026

Revised

28 April 2026

Accepted

01 May 2026

Published

19 May 2026

Approved by

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Volume

14 - 2026

Updates

Copyright

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: Chunxia Lin Qingshan You

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.

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