A convolutional neural network-based system for identifying neuroendocrine neoplasms and multiple types of lesions in the pancreas using EUS (with videos).

Journal: Gastrointestinal endoscopy
PMID:

Abstract

BACKGROUND AND AIMS: EUS is sensitive in detecting pancreatic neuroendocrine neoplasm (pNEN). However, the endoscopic diagnosis of pNEN is operator-dependent and time-consuming because pNEN mimics normal pancreas and other pancreatic lesions. We intended to develop a convolutional neural network (CNN)-based system, named iEUS, for identifying pNEN and multiple types of pancreatic lesions using EUS.

Authors

  • Jie-Kun Ni
    Department of Gastroenterology, Qilu Hospital of Shandong University, Jinan, China; Shandong Provincial Clinical Research Center for Digestive Disease, Shandong, China; Laboratory of Translational Gastroenterology, Qilu Hospital of Shandong University, Jinan, China; Robot Engineering Laboratory for Precise Diagnosis and Therapy of GI Tumor, Qilu Hospital of Shandong University, Jinan, China.
  • Ze-Le Ling
    Shandong Flag Information Technology Co, LTD, Shandong, China.
  • Xiao Liang
    Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, Beijing Key Laboratory of Detection Technology for Animal-Derived Food Safety, Beijing Laboratory for Food Quality and Safety, Beijing, 100193, People's Republic of China; College of Veterinary Medicine, Qingdao Agricultural University, Qingdao, 266109, People's Republic of China.
  • Yi-Hao Song
    Department of Gastroenterology, Qilu Hospital of Shandong University, Jinan, China; Shandong Provincial Clinical Research Center for Digestive Disease, Shandong, China; Laboratory of Translational Gastroenterology, Qilu Hospital of Shandong University, Jinan, China; Robot Engineering Laboratory for Precise Diagnosis and Therapy of GI Tumor, Qilu Hospital of Shandong University, Jinan, China.
  • Guo-Ming Zhang
    Department of Gastroenterology, Qilu Hospital of Shandong University, Jinan, China; Shandong Provincial Clinical Research Center for Digestive Disease, Shandong, China; Laboratory of Translational Gastroenterology, Qilu Hospital of Shandong University, Jinan, China; Robot Engineering Laboratory for Precise Diagnosis and Therapy of GI Tumor, Qilu Hospital of Shandong University, Jinan, China.
  • Chang-Xu Chen
    Department of Gastroenterology, Qilu Hospital of Shandong University, Jinan, China; Shandong Provincial Clinical Research Center for Digestive Disease, Shandong, China; Laboratory of Translational Gastroenterology, Qilu Hospital of Shandong University, Jinan, China; Robot Engineering Laboratory for Precise Diagnosis and Therapy of GI Tumor, Qilu Hospital of Shandong University, Jinan, China.
  • Li-Mei Wang
    Department of Gastroenterology, Qilu Hospital of Shandong University, Jinan, China; Shandong Provincial Clinical Research Center for Digestive Disease, Shandong, China; Laboratory of Translational Gastroenterology, Qilu Hospital of Shandong University, Jinan, China; Robot Engineering Laboratory for Precise Diagnosis and Therapy of GI Tumor, Qilu Hospital of Shandong University, Jinan, China.
  • Peng Wang
    Neuroengineering Laboratory, School of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin, China.
  • Guang-Chao Li
    Department of Gastroenterology, Qilu Hospital of Shandong University, Jinan, China; Shandong Provincial Clinical Research Center for Digestive Disease, Shandong, China; Laboratory of Translational Gastroenterology, Qilu Hospital of Shandong University, Jinan, China; Robot Engineering Laboratory for Precise Diagnosis and Therapy of GI Tumor, Qilu Hospital of Shandong University, Jinan, China.
  • Shi-Yang Ma
    Division of Gastroenterology, The Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, China.
  • Jun Gao
    Physics of Complex Fluids, MESA+ Institute for Nanotechnology, University of Twente, Enschede 7500 AE, The Netherlands.
  • Le Chang
    Division of Biology and Biological Engineering, Computation and Neural Systems, Caltech, Pasadena, CA 91125, USA; Institute of Neuroscience, Key Laboratory of Primate Neurobiology, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China. Electronic address: lechang@ion.ac.cn.
  • Xin-Xin Zhang
    Shandong Flag Information Technology Co, LTD, Shandong, China.
  • Ning Zhong
    NMPA Key Laboratory for Research and Evaluation of Drug Metabolism & Guangdong Provincial Key Laboratory of New Drug Screening, School of Pharmaceutical Sciences, Southern Medical University, Guangzhou 510515, China.
  • Zhen Li
    PepsiCo R&D, Valhalla, NY, United States.