CORRECTION article

Front. Med., 12 November 2024

Sec. Hepatobiliary Diseases

Volume 11 - 2024 | https://doi.org/10.3389/fmed.2024.1518391

Corrigendum: Deep learning-driven ultrasound-assisted diagnosis: optimizing GallScopeNet for precise identification of biliary atresia

  • 1. College of Information Engineering, Sichuan Agricultural University, Ya'an, China

  • 2. Artificial Intelligence Laboratory, Sichuan Agricultural University, Ya'an, China

  • 3. College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China

  • 4. Ya'an People's Hospital, Ya'an, Sichuan, China

  • 5. Department of Neurology, The Affiliated Hospital, Southwest Medical University, Luzhou, Sichuan, China

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In the published article, there was an error regarding the affiliations for Pingchuan Liu and Jian Wang. As well as having affiliation 4, they should also have “Department of Neurology, The Affiliated Hospital, Southwest Medical University, Luzhou, Sichuan, China”.

In the published article, there was an error in the Funding statement. The funding statement originally only included “the Health Commission of Sichuan Province, project number 23LCYJ034” and omitted additional funding sources. The correct Funding statement appears below.

Statements

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was funded by Central Government Guides Local Scientific and Technological Development Project (Grant No. 2022ZYD0097), Sichuan Provincial Health Commission Special Clinical Research Project (Grant No. 23LCYJ034), Sichuan Medical Youth Innovation Research Project (Grant No. Q21049), Sichuan Medical Science and Technology Innovation Research Association Project (Grant No. YCH-KY-YCZD2024-037), and the Health Commission of Sichuan Province, project number 23LCYJ034.

The authors apologize for these errors 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

biliary atresia (BA), deep learning, ultrasound diagnosis, feature extraction, clinical application

Citation

Niu Y, Li J, Xu X, Luo P, Liu P, Wang J and Mu J (2024) Corrigendum: Deep learning-driven ultrasound-assisted diagnosis: optimizing GallScopeNet for precise identification of biliary atresia. Front. Med. 11:1518391. doi: 10.3389/fmed.2024.1518391

Received

28 October 2024

Accepted

29 October 2024

Published

12 November 2024

Approved by

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Volume

11 - 2024

Updates

Copyright

*Correspondence: Jiong Mu Jian Wang

†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.

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