Artificial intelligence system of faster region-based convolutional neural network surpassing senior radiologists in evaluation of metastatic lymph nodes of rectal cancer.

Journal: Chinese medical journal
Published Date: Feb 1, 2019

Abstract

BACKGROUND: An artificial intelligence system of Faster Region-based Convolutional Neural Network (Faster R-CNN) is newly developed for the diagnosis of metastatic lymph node (LN) in rectal cancer patients. The primary objective of this study was to comprehensively verify its accuracy in clinical use.

Authors

  • Lei Ding
    Shandong Key Laboratory of Digital Medicine & Computer Assisted Surgery, Qingdao University, Qingdao, Shandong 266003, China.
  • Guang-Wei Liu
    Shandong Key Laboratory of Digital Medicine & Computer Assisted Surgery, Qingdao University, Qingdao, Shandong 266003, China.
  • Bao-Chun Zhao
    Department of Follow-up, Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, Shandong 266003, China.
  • Yun-Peng Zhou
    Department of Gastroenterology Surgery, Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, Shandong 266003, China.
  • Shuai Li
    School of Molecular Biosciences, Center for Reproductive Biology, College of Veterinary Medicine, Washington State University.
  • Zheng-Dong Zhang
    State Key Laboratory of Virtual Reality Technology & Systems, Beihang University, Beijing 100191, China.
  • Yu-Ting Guo
    State Key Laboratory of Virtual Reality Technology & Systems, Beihang University, Beijing 100191, China.
  • Ai-Qin Li
    Department of Outpatient Administration, Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, Shandong 266003, China.
  • Yun Lu
    Guizhou University of Traditional Chinese Medicine, Guiyang, Guizhou Province, China.
  • Hong-Wei Yao
    Department of General Surgery, Beijing Friendship Hospital, Capital Medical University & National Clinical Research Center for Digestive Diseases, Beijing 100050, China.
  • Wei-Tang Yuan
    1 Department of colorectal Surgery, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
  • Gui-Ying Wang
    Department of General Surgery, Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei 050011, China.
  • Dian-Liang Zhang
    Department of General Surgery, Qingdao Municipal Hospital, Qingdao, Shandong 266011, China.
  • Lei Wang
    Department of Nursing, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.

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