PropertyValue
is ?:annotates of
?:authorAffiliation
  • [\'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. Electronic address: 386489753@qq.com.\', \'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. Electronic address: qisl@bmie.neu.edu.cn.\', \'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. Electronic address: 2010478@stu.neu.edu.cn.\', \'College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China. Electronic address: lichen@bmie.neu.edu.cn.\', \'Department of Radiology, The Second People\'s Hospital of Guiyang, Guiyang, China. Electronic address: 978604653@qq.com.\', \'Department of Respiratory Medicine, Central Hospital Affiliated to Shenyang Medical College, Shenyang, China. Electronic address: syx262@126.com.\', \'Department of Radiology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China. Electronic address: 37758127@qq.com.\', \'Department of Radiology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China. Electronic address: 964310978@qq.com.\', \'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; Department of Radiology, The Seventh Affiliated Hospital, Southern Medical University, Guangzhou, China. Electronic address: 331693861@qq.com.\']
?:citedBy
  • -1
?:creator
?:doi
?:doi
  • S0010-4825(21)00976-810.1016/j.compbiomed.2021.105182
?:hasPublicationType
?:journal
  • Computers in biology and medicine
is ?:pmid of
?:pmid
?:pmid
  • 34979404
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • 0.591
?:rankingScore_hIndex
  • 68
is ?:relation_isRelatedTo_publication of
?:title
  • Fully automatic pipeline of convolutional neural networks and capsule networks to distinguish COVID-19 from community-acquired pneumonia via CT images.
?:type
?:year
  • 2022

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