An original deep learning model using limited data for COVID-19 discrimination: A multicenter study.

Journal: Medical physics
Published Date: Apr 18, 2022

Abstract

OBJECTIVES: Artificial intelligence (AI) has been proved to be a highly efficient tool for COVID-19 diagnosis, but the large data size and heavy label force required for algorithm development and the poor generalizability of AI algorithms, to some extent, limit the application of AI technology in clinical practice. The aim of this study is to develop an AI algorithm with high robustness using limited chest CT data for COVID-19 discrimination.

Authors

  • Fangyi Xu
  • Kaihua Lou
    Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Chao Chen
    Department of Neonatology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
  • Qingqing Chen
  • Dawei Wang
    Institute of Advanced Research, Infervision Medical Technology Co., Ltd, Beijing, China.
  • Jiangfen Wu
    Department of Biomedical Engineering, College of Automation, Nanjing University of Aeronautics and Astronautics, No. 29, Yudao St., Qinhuai District, Nanjing, 210016, Jiangsu Province, China, wjfyunzhu@163.com.
  • Wenchao Zhu
  • Weixiong Tan
    Beijing Infervision Technology Co. Ltd., Beijing, 100025, China.
  • Yong Zhou
    National Institutes for Food and Drug Control, Beijing, 100050, China.
  • Yongjiu Liu
    Department of Radiology, Jingmen No.1 People's Hospital, Jingmen, China.
  • Bing Wang
    Computer Science & Engineering Department at the University of Connecticut.
  • Xiaoguo Zhang
    School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China.
  • Zhongfa Zhang
    Department of Respiratory Medicine, Jinan Infectious Disease Hospital, Shandong University, 22029# Jing-Shi Road, Jinan, 250021, Shandong, People's Republic of China. zhzflab@163.com.
  • Jianjun Zhang
    Department of Thoracic/Head and Neck Medical Oncology, MD Anderson Cancer Center, Houston, Texas, USA.
  • Mingxia Sun
    Department of Radiology, Zhejiang Hospital, Hangzhou, China.
  • Guohua Zhang
    Department of Radiology, Taizhou No.1 People's Hospital, Taizhou, China.
  • Guojiao Dai
    Department of Radiology, Taizhou No.1 People's Hospital, Taizhou, China.
  • Hongjie Hu

Keywords

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