Artificial intelligence for early gastric cancer boundary recognition in NBI and nF-NBI endoscopic images.

Journal: Scandinavian journal of gastroenterology
Published Date: Jul 1, 2025

Abstract

OBJECTIVES: Precise delineation of early gastric cancer (EGC) margins is essential for complete resection during endoscopic submucosal dissection. This study aimed to develop deep learning-based models for EGC boundary detection in narrow-band imaging (NBI) and near-focus NBI (NF-NBI) images.

Authors

  • Kaicheng Hong
    School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.
  • Changda Lei
    Department of Gastroenterology, The First Affiliated Hospital of Soochow University, Suzhou, China.
  • Xiuji Kan
    Department of Gastroenterology, The First Affiliated Hospital of Soochow University, Suzhou, China.
  • Yifan Ouyang
    Department of Gastroenterology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
  • Yutong Mei
    Department of Gastroenterology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
  • Yunbo Guo
    Computer Vision and Machine Learning (CVML) Group, School of Engineering, University of Central Lancashire, Preston PR1 2HE, UK.
  • Bilin Wang
    Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Science, Suzhou, China.
  • Deqing Zhang
    College of Engineering, Ocean University of China, Qingdao 266100, China.
  • Junbo Li
    Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Science, Suzhou, China.
  • Rui Li
    Department of Oncology, Xiyuan Hospital, China Academy of Chinese Medical Science, Beijing, China.
  • Yuguo Tang
    Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, China.

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