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is ?:annotates of
?:authorAffiliation
  • [\'Department of Radiology, Huashan Hospital, Fudan University, 12 Middle Wulumuqi Rd., Jing\'an District, Shanghai, 200040, China.\', \'Shanghai Yidan Information Technology Co., Ltd; Shanghai Key Laboratory of Data Science, Shanghai Institute for Advanced Communication and Data Science, School of Computer Science, Fudan University, Shanghai, China.\', \'Shanghai Key Laboratory of Data Science, Shanghai Institute for Advanced Communication and Data Science, School of Computer Science, Fudan University, Shanghai, China.\', \'Department of Radiology, Fuyang No. 2 People\'s Hospital, 450 Linquan Road, Fuyang, Anhui Province, China.\', \'Department of Radiology, Huashan Hospital, Fudan University, 12 Middle Wulumuqi Rd., Jing\'an District, Shanghai, 200040, China. yinbo@fudan.edu.cn.\']
?:citedBy
  • -1
?:creator
?:doi
  • 10.1007/s00330-020-07553-7
?:doi
?:hasPublicationType
?:journal
  • European radiology
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?:pmid
?:pmid
  • 33372243
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  • 1.943
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  • 131
?:title
  • The usage of deep neural network improves distinguishing COVID-19 from other suspected viral pneumonia by clinicians on chest CT: a real-world study.
?:type
?:year
  • 2021

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