A real-time deep learning-based system for colorectal polyp size estimation by white-light endoscopy: development and multicenter prospective validation.

Journal: Endoscopy
Published Date:

Abstract

BACKGROUND: The choice of polypectomy device and surveillance intervals for colorectal polyps are primarily decided by polyp size. We developed a deep learning-based system (ENDOANGEL-CPS) to estimate colorectal polyp size in real time.

Authors

  • Jing Wang
    Endoscopy Center, Peking University Cancer Hospital and Institute, Beijing, China.
  • Ying Li
    School of Information Engineering, Chang'an University, Xi'an 710010, China.
  • Boru Chen
    Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China; Key Laboratory of Hubei Province for Digestive System Disease, Renmin Hospital of Wuhan University, Wuhan, China; Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, China.
  • Du Cheng
    Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China.
  • Fei Liao
    Ministry-of-Education Key Laboratory of Laboratory Medical Diagnostics, College of Laboratory Medicine, Chongqing Medical University, Chongqing 400016, China.
  • Tao Tan
    Faculty of Applied Sciences, Macao Polytechnic University, Macao, China.
  • Qinghong Xu
    Department of Endoscopy, Eighth Hospital of Wuhan, Wuhan, China.
  • Zhifeng Liu
    Institute of Advanced Manufacturing and Intelligent Technology, Beijing University of Technology, Beijing 100022, China.
  • Yuan Huang
    School of Electrical Engineering and Information, Sichuan University, Chengdu 610065, China.
  • Ci Zhu
    Department of Endoscopy, Eighth Hospital of Wuhan, Wuhan, China.
  • Wenbing Cao
    Department of Endoscopy, Eighth Hospital of Wuhan, Wuhan, China.
  • Liwen Yao
    Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China; Key Laboratory of Hubei Province for Digestive System Disease, Renmin Hospital of Wuhan University, Wuhan, China; Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, China.
  • Zhifeng Wu
    From the Department of Radiology, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University.
  • Lianlian Wu
    Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China.
  • Chenxia Zhang
    Department of Gastroenterology, Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, and Key Laboratory of Hubei Province for Digestive System Disease, Renmin Hospital of Wuhan University, Wuhan, China.
  • Bing Xiao
    College of Food Science and Technology, Henan University of Technology Lianhua Street 100 Zhengzhou 450001 Henan Province P. R. China liuwei307@hotmail.com +86-371-67758022 +86-371-67758022.
  • Ming Xu
    Shenyang Analytical Application Center, Shimadzu (China) Co. Ltd., Shenyang, 167 Qingnian Street, Shenyang, 110016, PR China.
  • Jun Liu
    Department of Radiology, Second Xiangya Hospital, Changsha, Hunan, China.
  • Shuyu Li
    School of Economics and Management, China University of Petroleum (East China), Qingdao, 266580, People's Republic of China.
  • Honggang Yu
    Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China.