Real-time automated diagnosis of precancerous lesions and early esophageal squamous cell carcinoma using a deep learning model (with videos).

Journal: Gastrointestinal endoscopy
Published Date:

Abstract

BACKGROUND AND AIMS: We developed a system for computer-assisted diagnosis (CAD) for real-time automated diagnosis of precancerous lesions and early esophageal squamous cell carcinomas (ESCCs) to assist the diagnosis of esophageal cancer.

Authors

  • Linjie Guo
    Tobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao, China.
  • Xiao Xiao
    George Washington University.
  • ChunCheng Wu
    Department of Gastroenterology, West China Hospital, Sichuan University, Chengdu, China.
  • Xianhui Zeng
    Department of Gastroenterology, West China Hospital, Sichuan University, Chengdu, China.
  • YuHang Zhang
    Institute of Health Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China. Electronic address: yhzhang@sibs.ac.cn.
  • Jiang Du
    Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Shuai Bai
    Department of Gastroenterology, West China Hospital, Sichuan University, Chengdu, China.
  • Jia Xie
    Department of Gastroenterology, West China Hospital, Sichuan University, Chengdu, China.
  • Zhiwei Zhang
    Department of Statistics, University of California, Riverside, California.
  • Yuhong Li
    Shanghai Wision AI Co Ltd, Shanghai, China.
  • Xuedan Wang
    Shanghai Wision AI Co Ltd, Shanghai, China.
  • Onpan Cheung
    San Bernardino Gastroenterology Associates Inc and ACE Endoscopy and Surgery Center, Rialto, California, USA.
  • Malay Sharma
    Jaswant Rai Speciality Hospital, Meerut, India.
  • Jingjia Liu
    Shanghai Wision AI Co., Ltd, Shanghai, China.
  • Bing Hu
    Department of Gastroenterology, West China Hospital, Sichuan University, Chengdu, China.