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  • [\'College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China; Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University, Shenyang, China.\', \'College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China.\', \'Department of Radiology, The Second People\'s Hospital of Guiyang, Guiyang, China.\', \'Department of Respiratory Medicine, Central Hospital Affiliated to Shenyang Medical College, Shenyang, China.\', \'Department of Radiology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.\', \'Department of Radiology, General Hospital of the Yangtze River Shipping, Wuhan, China. Electronic address: 75288763@qq.com.\', \'Department of Radiology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China. Electronic address: 331693861@qq.com.\']
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  • -1
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?:doi
  • S0169-2607(21)00480-610.1016/j.cmpb.2021.106406
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  • Computer methods and programs in biomedicine
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?:title
  • DR-MIL: deep represented multiple instance learning distinguishes COVID-19 from community-acquired pneumonia in CT images.
?:type
?:year
  • 2021

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