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CORRECTION article

Front. Med.
Sec. Hepatobiliary Diseases
Volume 11 - 2024 | doi: 10.3389/fmed.2024.1518391

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

Provisionally accepted
Yupeng Niu Yupeng Niu 1Jingze Li Jingze Li 1Xiyuan Xu Xiyuan Xu 2*Pu Luo Pu Luo 1Pingchuan Liu Pingchuan Liu 3,4*Jian Wang Jian Wang 3,4*Jiong Mu Jiong Mu 1*
  • 1 College of Information Engineering, Sichuan Agricultural University, Ya'an, Sichuan Province, China
  • 2 College of Veterinary Medicine, Sichuan Agricultural University, Yaan Shi, Sichuan, China
  • 3 Department of Neurology, Ya'an People’s Hospital, Ya'an, Sichuan Province, China
  • 4 Department of Neurology, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan Province, China

This article is a correction to:

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

    1. Read original article

The final, formatted version of the article will be published soon.

    Corrigendum on: Niu, Y., Li, J., Xu, X., Luo, P., Liu, P., Wang, J., & Mu, J. (2024). Deep learning-driven ultrasound-assisted diagnosis: optimizing GallScopeNet for precise identification of biliary atresia. Frontiers in medicine, 11, 1445069. https://doi.org/10.3389/fmed.2024.1445069 In the published article, there was an error regarding the affiliation(s) for Pingchuan Liu and Jian Wang. As well as having affiliation(s) 4, they should also have Department of Neurology, The Affiliated Hospital, Southwest Medical University, Sichuan Province, Luzhou, China.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. 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. Central Government Guides Local Scientific and Technological Development Project (Grant No.2022ZYD0097)

    Keywords: Biliary atresia (BA), clinical application, deep learning, feature extraction, Ultrasound diagnosis

    Received: 28 Oct 2024; Accepted: 29 Oct 2024.

    Copyright: © 2024 Niu, Li, Xu, Luo, Liu, Wang and Mu. 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) or licensor 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:
    Xiyuan Xu, College of Veterinary Medicine, Sichuan Agricultural University, Yaan Shi, Sichuan, China
    Pingchuan Liu, Department of Neurology, Ya'an People’s Hospital, Ya'an, 625000, Sichuan Province, China
    Jian Wang, Department of Neurology, Ya'an People’s Hospital, Ya'an, 625000, Sichuan Province, China
    Jiong Mu, College of Information Engineering, Sichuan Agricultural University, Ya'an, 625014, Sichuan Province, China

    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.