AI support for colonoscopy quality control using CNN and transformer architectures.

Journal: BMC gastroenterology
PMID: 39123140

Abstract

BACKGROUND: Construct deep learning models for colonoscopy quality control using different architectures and explore their decision-making mechanisms.

Authors

  • Jian Chen
    School of Pharmacy, Shanghai Jiaotong University, Shanghai, China.
  • Ganhong Wang
    Department of Gastroenterology, Changshu Traditional Chinese Medicine Hospital (New District Hospital), Suzhou, 215500, China.
  • Jingjie Zhou
    Radiotherapy Business Unit, Shanghai United Imaging Healthcare Co., Ltd., Shanghai, China.
  • Zihao Zhang
    Institute for Hospital Management, Tsinghua University, Beijing, China.
  • Yu Ding
    College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China.
  • Kaijian Xia
    Intelligent Medical Technology Research Center, Changshu Hospital Affiliated to Soochow University, Changshu, China.
  • Xiaodan Xu
    Department of Gastroenterology, Changshu Hospital Affiliated to Soochow University, First People's Hospital of Changshu City, No.1 Shuyuan Street, Changshu, Jiangsu, 215500, China. xuxiaodan20@126.com.

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