Simultaneous Recognition of Atrophic Gastritis and Intestinal Metaplasia on White Light Endoscopic Images Based on Convolutional Neural Networks: A Multicenter Study.

Journal: Clinical and translational gastroenterology
Published Date: Aug 3, 2021

Abstract

INTRODUCTION: Patients with atrophic gastritis (AG) or gastric intestinal metaplasia (GIM) have elevated risk of gastric adenocarcinoma. Endoscopic screening and surveillance have been implemented in high incidence countries. The study aimed to evaluate the accuracy of a deep convolutional neural network (CNN) for simultaneous recognition of AG and GIM.

Authors

  • Ne Lin
    Department of Gastroenterology, Sir Run Run Shaw Hospital, Medical School, Zhejiang University, Hangzhou, China.
  • Tao Yu
    Department of Smart Experience Design Kookmin University, Seoul 02707, Republic of Korea.
  • Wenfang Zheng
    Department of Gastroenterology, Sir Run Run Shaw Hospital, Medical School, Zhejiang University, Hangzhou, China.
  • Huiyi Hu
    Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China.
  • Lijuan Xiang
    Department of Gastroenterology, The People's Hospital of Shangyu, and Shangyu Hospital of the Second Affiliated Hospital, Medical School, Zhejiang University, Shaoxing, China.
  • Guoliang Ye
    Department of Gastroenterology, Affiliated Hospital, Medical School, Ningbo University, Ningbo, China.
  • Xingwei Zhong
    Department of Gastroenterology, The People's Hospital of Deqing, Huzhou, China.
  • Bin Ye
    Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, 2-1, Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8573, Japan.
  • Rong Wang
    College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shanxi, China. Electronic address: wangrong91@nwsuaf.edu.cn.
  • Wanyin Deng
    Department of Gastroenterology, Fujian Provincial Hospital, Fuzhou, China.
  • Jingjing Li
    Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, China.
  • Xiaoyue Wang
    Department of Gastroenterology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
  • Feng Han
    Department of Gastroenterology, The First People's Hospital of Jiaxing, Jiaxing, China.
  • Kun Zhuang
    Department of Gastroenterology, The Central Hospital of Xi'an, Xi'an, China.
  • Dekui Zhang
    Department of Gastroenterology, The Second Affiliated Hospital, Medical School, Lanzhou University, Lanzhou, China.
  • Huanhai Xu
    Department of Gastroenterology, The People's Hospital of Yueqing, Wenzhou, China.
  • Jin Ding
    Department of Gastroenterology, The Central Hospital of Jinhua, Jinhua, China.
  • Xu Zhang
    China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
  • Yuqin Shen
    Department of Gastroenterology, Sir Run Run Shaw Hospital, Medical School, Zhejiang University, Hangzhou, China.
  • Hai Lin
    Department of Endocrinology, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
  • Zhe Zhang
    Department of Urology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning 110001, China.
  • John J Kim
    Department of Gastroenterology, Sir Run Run Shaw Hospital, Medical School, Zhejiang University, Hangzhou, China.
  • Jiquan Liu
  • Weiling Hu
    Institute of Gastroenterology, Zhejiang University, Hangzhou, China.
  • Huilong Duan
    The College of Biomedical Engineering and Instrument Science, Zhejiang University, 310027 Hangzhou, Zhejiang, China.
  • Jianmin Si
    Institute of Gastroenterology, Zhejiang University, Hangzhou, China.

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