Rapid identification of COVID-19 severity in CT scans through classification of deep features.

Journal: Biomedical engineering online
Published Date: Aug 12, 2020

Abstract

BACKGROUND: Chest CT is used for the assessment of the severity of patients infected with novel coronavirus 2019 (COVID-19). We collected chest CT scans of 202 patients diagnosed with the COVID-19, and try to develop a rapid, accurate and automatic tool for severity screening follow-up therapeutic treatment.

Authors

  • Zekuan Yu
    Department of Biomedical Engineering, College of Engineering, Peking University, Beijing, 100871, China.
  • Xiaohu Li
    Department of Radiology, The First Affiliated Hospital of Anhui Medical University, 230022, Hefei, Anhui, China.
  • Haitao Sun
    State Key Laboratory of Precision Spectroscopy, School of Physics and Electronic Science, East China Normal University, 500 Dongchuan Road, Shanghai, 200241, PR China.
  • Jian Wang
    Veterinary Diagnostic Center, Shanghai Animal Disease Control Center, Shanghai, China.
  • Tongtong Zhao
    Department of Radiology, Fuyang Second People's Hospital, Fuyang, 236000, China.
  • Hongyi Chen
    Academy for Engineering and Technology, Fudan University, Shanghai, 200433, China.
  • Yichuan Ma
    The First Affiliated Hospital of Bengbu Medical College, No. 287 Changhuai Road, Bengbu Anhui, 233004, China.
  • Shujin Zhu
    School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing, 210023, China. shujinzhu@njupt.edu.cn.
  • Zongyu Xie
    The First Affiliated Hospital of Bengbu Medical College, No. 287 Changhuai Road, Bengbu Anhui, 233004, China. zongyuxie@sina.com.

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