In the published article, there was a mistake in the Funding statement. The funding statement for the National Cheng Kung University Hospital of Taiwan was displayed as “NCKUH-11103026”. The correct statement is “National Cheng Kung University Hospital of Taiwan [NCKUH-11103026 and NCKUH-11201007].” The correct Funding statement appears below.
Statements
Funding
This work was supported by the National Cheng Kung University Hospital of Taiwan [NCKUH-11103026 and NCKUH-11201007], the Ministry of Science and Technology of Taiwan [MOST 110-2314-B-006-103 and MOST 111-2314-B-006-106], and Higher Education Sprout Project, Ministry of Education to the Headquarters of University Advancement at National Cheng Kung University (NCKU).
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
radiomics, convolutional neural networks, deep learning, machine learning, prevascular mediastinal tumor
Citation
Chang C-C, Tang E-K, Wei Y-F, Lin C-Y, Wu F-Z, Wu M-T, Liu Y-S, Yen Y-T, Ma M-C and Tseng Y-L (2023) Corrigendum: Clinical radiomics-based machine learning versus three-dimension convolutional neural network analysis for differentiation of thymic epithelial tumors from other prevascular mediastinal tumors on chest computed tomography scan. Front. Oncol. 13:1220962. doi: 10.3389/fonc.2023.1220962
Received
11 May 2023
Accepted
22 May 2023
Published
31 May 2023
Approved by
Frontiers Editorial Office, Frontiers Media SA, Switzerland
Volume
13 - 2023
Updates
Copyright
© 2023 Chang, Tang, Wei, Lin, Wu, Wu, Liu, Yen, Ma and Tseng.
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: Yi-Ting Yen, b85401067@gmail.com; Mi-Chia Ma, mcma@mail.ncku.edu.tw
†These authors have contributed equally to this work and share first authorship
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.