In the published article, there was an error in the Funding statement for Science and Technology Support Program of Sichuan Province (No. 22NSFSC117). The correct Funding statement appears below.
FUNDING
This work was supported by the 1*3*5 Project for Disciplines of Excellence, West China Hospital, Sichuan University (No. ZY2017304), Science and Technology Support Program of Sichuan Province (No. 2022NSFSC0840) and the sky imaging research foundation (Z-2014-07-1912).
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.
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
radiomics, machine learning, prostate cancer, intraductal carcinoma, multiparametric MRI
Citation
Yang L, Li Z, Liang X, Xu J, Cai Y, Huang C, Zhang M, Yao J and Song B (2024) Corrigendum: Radiomic machine learning and external validation based on 3.0T mpMRI for prediction of intraductal carcinoma of prostate with different proportion. Front. Oncol. 14:1401121. doi: 10.3389/fonc.2024.1401121
Received
14 March 2024
Accepted
18 March 2024
Published
03 April 2024
Approved by
Frontiers Editorial Office, Frontiers Media SA, Switzerland
Volume
14 - 2024
Updates
Copyright
© 2024 Yang, Li, Liang, Xu, Cai, Huang, Zhang, Yao and Song.
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: Jin Yao, shelleyyao@163.com; Bin Song, songlab_radiology@163.com
†These authors have contributed equally to this work and share first authorship
‡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.