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is ?:annotates of
?:authorAffiliation
  • [\'Microscopic Image and Medical Image Analysis Group, College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China.\', \'Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USA.\', \'Faculty of Biochemistry and Molecular Medicine, University of Oulu, Oulu, Finland.\', \'Liaoning Hospital and Institute, Cancer Hospital of China Medical University, Shenyang, China.\', \'Electrical Engineering Department, Pratt School of Engineering Duke University, Durham, NC, USA.\', \'Whiting School of Engineering, Johns Hopkins University, 500 W University Parkway, MD, USA, USA.\', \'Environmental Engineering Department, Northeastern University, Shenyang, China.\']
?:citedBy
  • -1
?:creator
?:doi
  • 10.3233/XST-200715
?:doi
?:hasPublicationType
?:journal
  • Journal of X-ray science and technology
is ?:pmid of
?:pmid
?:pmid
  • 32773400
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • 0.495
?:rankingScore_hIndex
  • 27
?:title
  • Identification of COVID-19 samples from chest X-Ray images using deep learning: A comparison of transfer learning approaches.
?:type
?:year
  • 2020

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