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CORRECTION article

Front. Oncol.

Sec. Cancer Imaging and Image-directed Interventions

Correction: A Meta-learning-based Robust Federated Learning for Diagnosing Lung Adenocarcinoma and Tuberculosis Granulomas

Provisionally accepted
Chen YuyaoChen Yuyao1Lei LiuLei Liu2Bao FengBao Feng2Yehang ChenYehang Chen2Jun XuJun Xu2Huan LinHuan Lin3Kunwei LiKunwei Li4Xiaodong ChenXiaodong Chen5Yuting KeYuting Ke5Haoyang ZhouHaoyang Zhou2Qinghui HuQinghui Hu2Qinggeng JinQinggeng Jin6Wansheng LongWansheng Long7Qiong LIQiong LI8*Xiangmeng ChenXiangmeng Chen7*
  • 1Department of Medical Imaging, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, China
  • 2Laboratory of Artificial Intelligence of Biomedicine, Guilin University of Aerospace Technology, Guilin, China
  • 3Department of Radiology, Guangdong Provincial People’s Hospital, Guangzhou, China
  • 4Department of Radiology, Fifth Affiliated Hospital Sun Yat-sen University, Zhuhai, China
  • 5Department of Radiology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
  • 6School of Electrical Engineering, Guangxi University, Nanning, China
  • 7Department of Radiology, Jiangmen Central Hospital, Jiangmen, China
  • 8Department of Radiology, Sun Yat-sen University Cancer Center, Guangdong, China

This article is a correction to:

  1. A meta-learning-based robust federated learning for diagnosing lung adenocarcinoma and tuberculosis granulomas

    1. Read original article

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Keywords: CT images, Federated learning, Lung Adenocarcinoma, meta-learning, personalized federated learning signatures, solitary pulmonary solid nodules, SPSNs, Tuberculosis granuloma

Received: 07 Feb 2026; Accepted: 09 Feb 2026.

Copyright: © 2026 Yuyao, Liu, Feng, Chen, Xu, Lin, Li, Chen, Ke, Zhou, Hu, Jin, Long, LI 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) 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:
Qiong LI
Xiangmeng Chen

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.

Supplementary Material