Deep learning-based multi-view fusion model for screening 2019 novel coronavirus pneumonia: A multicentre study.

Journal: European journal of radiology
Published Date:

Abstract

PURPOSE: To develop a deep learning-based method to assist radiologists to fast and accurately identify patients with COVID-19 by CT images.

Authors

  • Xiangjun Wu
    School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100190, China; CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Institute of Automation, Beijing, 100190, China.
  • Hui Hui
    Department of Emergency, The First Medical Center to Chinese People's Liberation Army General Hospital, Beijing, China.
  • Meng Niu
    Intervention Radiology Department, The First Hospital of China Medical University, Shenyang, 110001, China. Electronic address: niumeng@cmu.edu.cn.
  • Liang Li
    School of Psychological and Cognitive Sciences, Peking University, Beijing, 100871, China.
  • Li Wang
    College of Marine Electrical Engineering, Dalian Maritime University, Dalian, China.
  • Bingxi He
    CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Institute of Automation, Beijing, 100190, China; University of Chinese Academy of Sciences, Beijing, 100190, China.
  • Xin Yang
    Department of Oral Maxillofacial-Head Neck Oncology, Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of Stomatology, Shanghai, China.
  • Li Li
    Department of Gastric Surgery, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China.
  • Hongjun Li
    School of Agricultural Engineering and Food Science, Shandong University of Technology, Zhangdian District, No. 12, Zhangzhou Road, Zibo, Shandong Province, China.
  • Jie Tian
    CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
  • Yunfei Zha
    Department of Radiology, Department of Infection Prevention and Control, Renmin Hospital, Wuhan University, Wuhan, China.