CORRECTION article
Front. Oncol.
Sec. Cancer Imaging and Image-directed Interventions
Volume 15 - 2025 | doi: 10.3389/fonc.2025.1674168
This article is part of the Research TopicAdvances in Intelligence or Nanomedicine-based Theranostics for CancersView all 4 articles
Personalized diagnosis of radiation pneumonitis in breast cancer patients based on radiomics
Provisionally accepted
- 1Qingdao Cancer Institute, Qingdao University, Qingdao, China
- 2Yunnan Cancer Hospital, Kunming, China
- 3First Affiliated Hospital of Kunming Medical University, Kunming, China
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Correction on: Wen X, Zhao Y, Dong W, Yang C, Li J, Sun L, Xiu Y, Gao C and Zhang M (2025) Personalized diagnosis of radiation pneumonitis in breast cancer patients based on radiomics. Front. Oncol. 15:1609421. doi: 10.3389/fonc.2025.1609421. 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. 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. for a reason not seen here, please contact the journal's editorial office.
Keywords: breast cancer, Radiomics, Radiation Pneumonitis, machine learning, artificial intelligence
Received: 29 Jul 2025; Accepted: 12 Aug 2025.
Copyright: © 2025 Xiaobo, 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) or licensor 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: Wen Xiaobo, Qingdao Cancer Institute, Qingdao University, Qingdao, China
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