Establishment and application of an artificial intelligence diagnosis system for pancreatic cancer with a faster region-based convolutional neural network.

Journal: Chinese medical journal
Published Date: Dec 5, 2019

Abstract

BACKGROUND: Early diagnosis and accurate staging are important to improve the cure rate and prognosis for pancreatic cancer. This study was performed to develop an automatic and accurate imaging processing technique system, allowing this system to read computed tomography (CT) images correctly and make diagnosis of pancreatic cancer faster.

Authors

  • Shang-Long Liu
    Department of General Surgery, Affiliated Hospital of Qingdao University, Qingdao, Shandong 266003, China.
  • Shuo Li
    Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Yu-Ting Guo
    State Key Laboratory of Virtual Reality Technology & Systems, Beihang University, Beijing 100191, China.
  • Yun-Peng Zhou
    Department of Gastroenterology Surgery, Affiliated Hospital of Qingdao University, Qingdao University, Qingdao, Shandong 266003, China.
  • Zheng-Dong Zhang
    State Key Laboratory of Virtual Reality Technology & Systems, Beihang University, Beijing 100191, China.
  • Shuai Li
    School of Molecular Biosciences, Center for Reproductive Biology, College of Veterinary Medicine, Washington State University.
  • Yun Lu
    Guizhou University of Traditional Chinese Medicine, Guiyang, Guizhou Province, China.

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