In the published article, there was an error in the legend for Figure 4 as published. The original legend did not match the actual content of the figure. The corrected legend appears below.
Figure 4
The MSE of LASSO regression.
“The MSE of LASSO regression.”
The original version of this 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
breast cancer, radiomics, radiation pneumonitis, machine learning, artificial intelligence
Citation
Wen X, Zhao Y, Dong W, Yang C, Li J, Sun L, Xiu Y, Gao C and Zhang M (2025) Correction: Personalized diagnosis of radiation pneumonitis in breast cancer patients based on radiomics. Front. Oncol. 15:1674168. doi: 10.3389/fonc.2025.1674168
Received
29 July 2025
Accepted
12 August 2025
Published
26 August 2025
Volume
15 - 2025
Edited and reviewed by
Han Wang, Shanghai Jiao Tong University School Medicine, China
Updates
Copyright
© 2025 Wen, Zhao, Dong, Yang, Li, Sun, Xiu, Gao and Zhang.
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: Ming Zhang, zhangming1@kmmu.edu.cn; Chang’e Gao, gaochange@kmmu.edu.cn
†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.