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is ?:annotates of
?:authorAffiliation
  • [\'Key Laboratory of Intelligent Computing in Medical Image (MIIC), Northeastern University, Ministry of Education, Shenyang, China.\', \'School of Computer Science and Engineering, Northeastern University, Shenyang, China. 1971582@stu.neu.edu.cn.\', \'Biomedical and Information Engineering School, Northeastern University, Shenyang, China.\', \'School of Computer Science and Engineering, Northeastern University, Shenyang, China.\', \'Neusoft Medical System Co., Ltd., Shenyang, Liaoning, China.\', \'School of Computer Science and Engineering, Northeastern University, Shenyang, China. 1910638@stu.neu.edu.cn.\']
?:citedBy
  • -1
?:creator
?:doi
  • 10.1186/s12938-021-00961-w
?:doi
?:hasPublicationType
?:journal
  • Biomedical engineering online
is ?:pmid of
?:pmid
?:pmid
  • 34865622
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?:rankingScore_SJR
  • 0.542
?:rankingScore_hIndex
  • 58
?:title
  • Pulmonary lesion subtypes recognition of COVID-19 from radiomics data with three-dimensional texture characterization in computed tomography images.
?:type
?:year
  • 2021

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