In the published article, there was a mistake in the order of authors. The co-first author was incorrectly written as the second author. The correct author list with the correct author order appears below.
“Zenghui Qian1†, Lingling Zhang2†, Jie Hu1, Shuguang Chen3, Hongyan Chen2, Huicong Shen2, Fei Zheng2, Yuying Zang2, Xuzhu Chen2*”
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
gliosarcoma, glioblastoma, machine learning, radiomics, differentiation
Citation
Qian Z, Zhang L, Hu J, Chen S, Chen H, Shen H, Zheng F, Zang Y and Chen X (2021) Corrigendum: Machine Learning-Based Analysis of Magnetic Resonance Radiomics for the Classification of Gliosarcoma and Glioblastoma. Front. Oncol. 11:774369. doi: 10.3389/fonc.2021.774369
Received
11 September 2021
Accepted
04 October 2021
Published
18 October 2021
Approved by
Frontiers Editorial Office, Frontiers Media SA, Switzerland
Volume
11 - 2021
Updates
Copyright
© 2021 Qian, Zhang, Hu, Chen, Chen, Shen, Zheng, Zang and Chen.
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: Xuzhu Chen, radiology888@aliyun.com
†These authors share first authorship
This article was submitted to Cancer Imaging and Image-directed Interventions, 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.