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CORRECTION article

Front. Oncol., 18 April 2023
Sec. Radiation Oncology
Volume 13 - 2023 | https://doi.org/10.3389/fonc.2023.1197217

Corrigendum: Machine learning in non-small cell lung cancer radiotherapy: a bibliometric analysis

This article is a correction to:

  1. Machine learning in non-small cell lung cancer radiotherapy: A bibliometric analysis

    1. Read original article
Jiaming Zhang&#x;Jiaming Zhang1†Huijun Zhu&#x;Huijun Zhu1†Jue WangJue Wang1Yulu ChenYulu Chen1Yihe LiYihe Li1Xinyu ChenXinyu Chen1Menghua ChenMenghua Chen1Zhengwen Cai*Zhengwen Cai2*Wenqi Liu*Wenqi Liu1*
  • 1Department of Radiation Oncology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China
  • 2Department of Oncology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China

A corrigendum on
Machine learning in non-small cell lung cancer radiotherapy: a bibliometric analysis

by Zhang J, Zhu H, Wang J, Chen Y, Li Y, Chen X, Chen M, Cai Z and Liu W (2023). . 13:1082423. doi: 10.3389/fonc.2023.1082423

In the published article, there was an error in the Funding statement. The funding from Guangxi key research and development program was omitted. The correct Funding statement appears below:

The authors declare that this study received funding from Guangxi key research and development program No. (GK) AB18221080, The Basic Ability Enhancement Program for Young and Middle-aged Teachers of Guangxi (2020KY03036), Youth Foundation of Guangxi Medical University(GXMUYSF201918), Foundation of Guangxi Health and Family Planning Commission (Z20190581), Foundation of the Second Affiliate Hospital of Guangxi Medical University (hbrc202104). The funders were not involved in the study design, collection, analysis, interpretation of data, the writing of this article or the decision to submit it for publication.

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: non-small cell lung cancer, radiotherapy, machine learning, computer science, bibliometric analysis

Citation: Zhang J, Zhu H, Wang J, Chen Y, Li Y, Chen X, Chen M, Cai Z and Liu W (2023) Corrigendum: Machine learning in non-small cell lung cancer radiotherapy: a bibliometric analysis. Front. Oncol. 13:1197217. doi: 10.3389/fonc.2023.1197217

Received: 30 March 2023; Accepted: 11 April 2023;
Published: 18 April 2023.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2023 Zhang, Zhu, Wang, Chen, Li, Chen, Chen, Cai and Liu. 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: Zhengwen Cai, 99cczzww@sina.com; Wenqi Liu, liuwenqigx@163.com

†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.