Artificial intelligence-based diagnosis of standard endoscopic ultrasonography scanning sites in the biliopancreatic system: a multicenter retrospective study.

Journal: International journal of surgery (London, England)
Published Date:

Abstract

BACKGROUND: There are challenges for beginners to identify standard biliopancreatic system anatomical sites on endoscopic ultrasonography (EUS) images. Therefore, the authors aimed to develop a convolutional neural network (CNN)-based model to identify standard biliopancreatic system anatomical sites on EUS images.

Authors

  • Shuxin Tian
    Department of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan.
  • Huiying Shi
    Department of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
  • Weigang Chen
    Department of Gastroenterology, The First Affiliated Hospital of Medical College, Shihezi University, Shihezi.
  • Shijie Li
    National Laboratory for Parallel and Distributed Processing, National University of Defense Technology, Changsha, China.
  • Chaoqun Han
    Department of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
  • Fan Du
    Division of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
  • Weijun Wang
    Key Laboratory of Adolescent Cyberpsychology and Behavior (CCNU), Ministry of Education, Wuhan, China.
  • Hongxu Wen
    Department of Gastroenterology, Lanzhou Second People's Hospital, Lanzhou.
  • Yali Lei
    Department of Gastroenterology, Weinan Central Hospital, Weinan.
  • Liang Deng
  • Jing Tang
    Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
  • Jinjie Zhang
    Department of Gastrointestinal Surgery, The Affiliated Heji Hospital Changzhi Medical College Changzhi, 046000, China. zhangjinjie146@163.com.
  • Jianjiao Lin
    Department of Gastroenterology, Longgang District People's Hospital, Shenzhen.
  • Lei Shi
  • Bo Ning
    Department of Paediatric Orthopedics, Children's Hospital of Fudan University, Shanghai, China.
  • Kui Zhao
    Department of PET Center, The First Affiliated Hospital, Zhejiang University, Hangzhou, Zhejiang, China.
  • Jiarong Miao
    Department of Gastroenterology, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
  • Guobao Wang
    Department of Radiology, University of California Davis Health, Sacramento, USA.
  • Hui Hou
    Drug Discovery and Design Center, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zuchongzhi Road, Shanghai 201203, China.
  • Xiaoxi Huang
    Department of Breast, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou, Fujian, China.
  • Wenjie Kong
    Department of Gastroenterology, People's Hospital of Xinjiang Autonomous Region, Urumqi.
  • Xiaojuan Jin
    Department of Gastroenterology, Suining Central Hospital, Suining, People's Republic of China.
  • Zhen Ding
    School of Public Health, Xuzhou Medical College, Xuzhou, 209 Tong-Shan Road, Xuzhou, Jiangsu, 221002, China.
  • Rong Lin
    College of Ocean Food and Biological Engineering, Jimei University, Xiamen, Fujian 361021, China.