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  • [\'School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, 100083, China.\', \'School of Automation, Guangdong University of Petrochemical Technology, Maoming, 525000, Guangdong, China. guyu@mail.buct.edu.cn.\', \'Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, 100029, China. guyu@mail.buct.edu.cn.\', \'Department of Chemistry, Institute of Inorganic and Analytical Chemistry, Goethe University, 60438, Frankfurt, Germany. guyu@mail.buct.edu.cn.\', \'Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.\', \'Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China.\', \'Beijing Youan Hospital, Capital Medical University, Beijing, China.\']
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  • -1
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?:doi
?:doi
  • 10.1038/s42003-020-01535-7
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  • Communications biology
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?:pmid
  • 33398067
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  • -1
?:title
  • Fast automated detection of COVID-19 from medical images using convolutional neural networks.
?:type
?:year
  • 2021

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