Skip to main content
Frontiers in Oncology logoLink to Frontiers in Oncology
. 2022 Sep 5;12:1005287. doi: 10.3389/fonc.2022.1005287

Corrigendum: Investigation of a novel deep learning-based computed tomography perfusion mapping framework for functional lung avoidance radiotherapy

Ge Ren 1, Sai-kit Lam 1, Jiang Zhang 1, Haonan Xiao 1, Andy Lai-yin Cheung 1, Wai-yin Ho 2, Jing Qin 3, Jing Cai 1,*
PMCID: PMC9484272  PMID: 36132139

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.


Articles from Frontiers in Oncology are provided here courtesy of Frontiers Media SA

RESOURCES