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CORRECTION article

Front. Oncol., 31 May 2023
Sec. Cancer Imaging and Image-directed Interventions

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

  • 1Division of Thoracic Surgery, Department of Surgery, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
  • 2Division of Thoracic Surgery, Department of Surgery, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
  • 3School of Medicine for International Students, College of Medicine, I-Shou University, Kaohsiung, Taiwan
  • 4Division of Chest Medicine, Department of Internal Medicine, E-Da Cancer Hospital, Kaohsiung, Taiwan
  • 5Department of Medical Imaging, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
  • 6Department of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
  • 7Faculty of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
  • 8Institute of Education, National Sun Yat-sen University, Kaohsiung, Taiwan
  • 9School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
  • 10Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
  • 11Division of Trauma and Acute Care Surgery, Department of Surgery, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
  • 12Department of Statistics and Institute of Data Science, National Cheng Kung University, Tainan, Taiwan

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.

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.

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

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.