In the published article, there was an error in affiliations for Jiyan Yang, Zhengzheng Liu and Di Jing. Instead of “Chenhua Luo1, 2, Jiyan Yang1, Zhengzheng Liu2 and Di Jing2*”, it should be “Chenhua Luo1, 2, Jiyan Yang2, Zhengzheng Liu1 and Di Jing1*”.
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original 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
glioma, pathomics, deep learning, recurrence, overall survival
Citation
Luo C, Yang J, Liu Z and Jing D (2023) Corrigendum: Predicting the recurrence and overall survival of patients with glioma based on histopathological images using deep learning. Front. Neurol. 14:1209701. doi: 10.3389/fneur.2023.1209701
Received
21 April 2023
Accepted
24 April 2023
Published
10 May 2023
Approved by
Frontiers Editorial Office, Frontiers Media SA, Switzerland
Volume
14 - 2023
Updates
Copyright
© 2023 Luo, Yang, Liu and Jing.
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: Di Jing jingdi@xiangya.com.cn
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.