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is ?:annotates of
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  • [\'School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, Jiangsu, PR China; Jiangsu Key Laboratory of Media Design and Software Technology, Wuxi, Jiangsu, PR China; Science Center for Future Foods, Jiangnan University, Wuxi, Jiangsu, PR China.\', \'Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China.\', \'Department of Engineering, University of Massachusetts, Boston, USA. Electronic address: Ping.Chen@umb.edu.\', \'Department of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong, China.\', \'School of Cyber Science and Engineering, Wuhan University, Wuhan, Hubei, PR China.\', \'School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, PR China.\', \'Department of Cancer Center, Union Hospital of Tongji Medical College of Huazhong University of Science and Technology, Wuhan, PR China.\', \'Department of Radiation and Medical Oncology, Zhongnan Hospital, Wuhan University, Wuhan, PR China.\']
?:citedBy
  • -1
?:creator
?:doi
?:doi
  • S0933-3657(21)00075-010.1016/j.artmed.2021.102082
?:hasPublicationType
?:journal
  • Artificial intelligence in medicine
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?:pmid
?:pmid
  • 34127245
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  • 0.766
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  • 72
is ?:relation_isRelatedTo_publication of
?:title
  • NIA-Network: Towards improving lung CT infection detection for COVID-19 diagnosis.
?:type
?:year
  • 2021

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