Construction of a convolutional neural network classifier developed by computed tomography images for pancreatic cancer diagnosis.

Journal: World journal of gastroenterology
Published Date: Sep 14, 2020

Abstract

BACKGROUND: Efforts should be made to develop a deep-learning diagnosis system to distinguish pancreatic cancer from benign tissue due to the high morbidity of pancreatic cancer.

Authors

  • Han Ma
    Department of Gastroenterology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, Zhejiang Province, China.
  • Zhong-Xin Liu
    College of Computer Science and Technology, Zhejiang University, Hangzhou 310058, Zhejiang Province, China.
  • Jing-Jing Zhang
    Department of Environmental Health and Occupational Medicine,West China School of Public Health,Sichuan University,Chengdu 610041,China.
  • Feng-Tian Wu
    State Key Laboratory for Diagnosis and Treatment of Infectious Disease, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, Zhejiang Province, China.
  • Cheng-Fu Xu
    Department of Gastroenterology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, Zhejiang Province, China.
  • Zhe Shen
    Department of Gastroenterology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, Zhejiang Province, China.
  • Chao-Hui Yu
    Department of Gastroenterology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, Zhejiang Province, China.
  • You-Ming Li
    Department of Gastroenterology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, Zhejiang Province, China.

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