Automated machine learning for the identification of asymptomatic COVID-19 carriers based on chest CT images.

Abstract

Authors

• Minyue Yin
  Department of Gastroenterology, the First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu, China.
• Chao Xu
  Department of Neurology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China;Department of Emergency, Zhejiang Hospital, Hangzhou 310013, China.
• Jinzhou Zhu
  Department of Gastroenterology, The First Affiliated Hospital of Soochow University, Suzhou 215000, China.
• Yuhan Xue
  Shanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science and Technology , Shanghai 200237, China.
• Yijia Zhou
  Medical School, Soochow University, Suzhou, 215006, Jiangsu, China.
• Yu He
  Key Laboratory for Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food Safety, College of Chemistry, Fuzhou University, Fuzhou, Fujian, 350116, China.
• Jiaxi Lin
  Department of Gastroenterology, the First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu, China.
• Lu Liu
  College of Pharmacy, Harbin Medical University, Harbin, China.
• Jingwen Gao
  Department of Gastroenterology, the First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu, China.
• Xiaolin Liu
  Department of Physics, Shanghai University of Electric Power, Shanghai 200090, China. Electronic address: xlliu@shiep.edu.cn.
• Dan Shen
  Department of Radiology, Yiyang Central Hospital, Yiyang, China.
• Cuiping Fu
  Department of Respiratory Medicine, The First Affiliated Hospital of Soochow University, 215006, Suzhou, Jiangsu, China. fucuipingjy@163.com.

Keywords

External Resources