Identifying early gastric cancer under magnifying narrow-band images with deep learning: a multicenter study.

Journal: Gastrointestinal endoscopy
Published Date:

Abstract

BACKGROUND AND AIMS: Narrow-band imaging with magnifying endoscopy (ME-NBI) has shown advantages in the diagnosis of early gastric cancer (EGC). However, proficiency in diagnostic algorithms requires substantial expertise and experience. In this study, we aimed to develop a computer-aided diagnostic model for EGM (EGCM) to analyze and assist in the diagnosis of EGC under ME-NBI.

Authors

  • Hao Hu
    Department of Geography and Geographic Information Science, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
  • Lixin Gong
    Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, 110169, China.
  • Di Dong
    The Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
  • Liang Zhu
    SINOPEC Research Institute of Safety Engineering Co., Ltd., Qingdao 266104, China.
  • Min Wang
    National and Local Joint Engineering Research Center of Ecological Treatment Technology for Urban Water Pollution, Wenzhou University, Wenzhou 325035, China.
  • Jie He
    Clinical Medical College of Chengdu Medical College, Chengdu, Sichuan, China.
  • Lei Shu
    School of Computer Science, Guangdong University of Petrochemical Technology, Maoming, China.
  • Yiling Cai
    Department of Gastroenterology, The Affiliated Dongnan Hospital of Xiamen University, Zhangzhou, China.
  • Shilun Cai
    Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Wei Su
    Department of Science and Technology, Hebei Agricultural University, Huanghua, China.
  • Yunshi Zhong
    Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Cong Li
    Key Laboratory of Synthetic and Natural Functional Molecule Chemistry of Ministry of Education, College of Chemistry and Materials Science, National Demonstration Center for Experimental Chemistry Education, Northwest University, Xi'an, Shaanxi 710127, China. Electronic address: licong@nwu.edu.cn.
  • Yongbei Zhu
  • Mengjie Fang
    CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China; University of Chinese Academy of Sciences, Beijing, 100080, China.
  • Lianzhen Zhong
    CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China.
  • Xin Yang
    Department of Oral Maxillofacial-Head Neck Oncology, Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of Stomatology, Shanghai, China.
  • Pinghong Zhou
    Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Jie Tian
    CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.