In the published article, there was an error in the Funding statement. The funding statement for the General Research Fund was displayed as “GRF 151022/19M”. The correct Funding statement appears below.
Funding
This work is supported by the Health and Medical Research Fund (HMRF 07183266); the General Research Fund (GRF 15103520).
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.
Summary
Keywords
perfusion imaging, lung function imaging, deep learning, perfusion synthesis, CT based image analysis, functional lung avoidance radiation therapy
Citation
Ren G, Lam S-k, Zhang J, Xiao H, Cheung AL-y, Ho W-y, Qin J and Cai J (2022) Corrigendum: Investigation of a novel deep learning-based computed tomography perfusion mapping framework for functional lung avoidance radiotherapy. Front. Oncol. 12:1005287. doi: 10.3389/fonc.2022.1005287
Received
28 July 2022
Accepted
12 August 2022
Published
05 September 2022
Approved by
Frontiers Editorial Office, Frontiers Media SA, Switzerland
Volume
12 - 2022
Updates
Copyright
© 2022 Ren, Lam, Zhang, Xiao, Cheung, Ho, Qin and Cai.
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: Jing Cai, jing.cai@polyu.edu.hk
This article was submitted to Radiation Oncology, a section of the journal Frontiers in Oncology
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.