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  • [\'Research Center for Ultrasonics and Technologies, Institute of Acoustics, Chinese Academy of Sciences, Beijing, 100190, China; University of Chinese Academy of Sciences, Beijing, 100049, China. Electronic address: liqian@mail.ioa.ac.cn.\', \'Research Center for Ultrasonics and Technologies, Institute of Acoustics, Chinese Academy of Sciences, Beijing, 100190, China. Electronic address: ningjiangbo@mail.ioa.ac.cn.\', \'Research Center for Ultrasonics and Technologies, Institute of Acoustics, Chinese Academy of Sciences, Beijing, 100190, China. Electronic address: yuanjianping@mail.ioa.ac.cn.\', \'Research Center for Ultrasonics and Technologies, Institute of Acoustics, Chinese Academy of Sciences, Beijing, 100190, China. Electronic address: xiaoling@mail.ioa.ac.cn.\']
?:citedBy
  • -1
?:creator
?:doi
?:doi
  • S0010-4825(21)00631-410.1016/j.compbiomed.2021.104837
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?:journal
  • Computers in biology and medicine
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  • 34530335
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  • 0.591
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?:title
  • A depthwise separable dense convolutional network with convolution block attention module for COVID-19 diagnosis on CT scans.
?:type
?:year
  • 2021

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