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CORRECTION article

Front. Oncol., 23 May 2024
Sec. Gastrointestinal Cancers: Gastric and Esophageal Cancers

Corrigendum: Deep learning or radiomics based on CT for predicting the response of gastric cancer to neoadjuvant chemotherapy: a meta-analysis and systematic review

Zhixian Bao,&#x;Zhixian Bao1,2†Jie Du&#x;Jie Du3†Ya Zheng,Ya Zheng1,4Qinghong Guo,Qinghong Guo1,4Rui Ji,*Rui Ji1,4*
  • 1Department of Gastroenterology, the First Hospital of Lanzhou University, Lanzhou, China
  • 2Department of Gastroenterology, Xi’an NO.1 Hospital, Xi’an, Shaanxi, China
  • 3Department of Social Medicine and Health Management, School of Public Health, Lanzhou University, Lanzhou, China
  • 4Gansu Province Clinical Research Center for Digestive Diseases, The First Hospital of Lanzhou University, Lanzhou, China

In the published article, there was an error in affiliations 1,2,3,4. Instead of “Zhixian Bao1,2†, Jie Du3†, Ya Zheng2,4, Qinghong Guo2,4, Rui Ji2,4*

1Department of Gastroenterology, Xi’an NO.1 Hospital, Xi’an, Shaanxi, China.

2Department of Gastroenterology, the First Hospital of Lanzhou University, Lanzhou, China.

3Department of Social Medicine and Health Management, School of Public Health, Lanzhou University, Lanzhou, China.

4Gansu Province Clinical Research Center for Digestive Diseases, The First Hospital of Lanzhou University, Lanzhou, China.”,

it should be “Zhixian Bao1,2†, Jie Du3†, Ya Zheng1,4, Qinghong Guo1,4, Rui Ji1,4*

1Department of Gastroenterology, the First Hospital of Lanzhou University, Lanzhou, China

2Department of Gastroenterology, Xi’an NO.1 hospital, Xi’an, Shaanxi, China

3Department of Social Medicine and Health Management, School of Public Health, Lanzhou University, Lanzhou, China

4Gansu Province Clinical Research Center for Digestive Diseases, The First Hospital of Lanzhou University, Lanzhou, China”.

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.

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: gastric cancer, neoadjuvant chemotherapy, deep learning, radiomics, artificial intelligence, meta-analysis

Citation: Bao Z, Du J, Zheng Y, Guo Q and Ji R (2024) Corrigendum: Deep learning or radiomics based on CT for predicting the response of gastric cancer to neoadjuvant chemotherapy: a meta-analysis and systematic review. Front. Oncol. 14:1433346. doi: 10.3389/fonc.2024.1433346

Received: 15 May 2024; Accepted: 16 May 2024;
Published: 23 May 2024.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2024 Bao, Du, Zheng, Guo and Ji. 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: Rui Ji, jir@lzu.edu.cn

These authors have contributed equally to this work and share first authorship

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.