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is ?:annotates of
?:authorAffiliation
  • [\'College of Big data and Internet, Shenzhen Technology University, Shenzhen, 518118, China; Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Shenzhen University Health Science Center, Shenzhen, China; College of Applied Sciences, Shenzhen University, Shenzhen, 518060, China.\', \'College of Big data and Internet, Shenzhen Technology University, Shenzhen, 518118, China.\', \'Department of Computer Sciences, Quaid-i-Azam University, Islamabad, Pakistan.\', \'Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China.\', \'College of Big data and Internet, Shenzhen Technology University, Shenzhen, 518118, China. Electronic address: zhaojian@sztu.edu.cn.\', \'College of Big data and Internet, Shenzhen Technology University, Shenzhen, 518118, China. Electronic address: huangbingding@sztu.edu.cn.\']
?:citedBy
  • -1
?:creator
?:doi
  • S0169-2607(22)00117-110.1016/j.cmpb.2022.106731
?:doi
?:hasPublicationType
?:journal
  • Computer methods and programs in biomedicine
is ?:pmid of
?:pmid
?:pmid
  • 35286874
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?:rankingScore_SJR
  • 0.786
?:rankingScore_hIndex
  • 75
?:title
  • Supervised and weakly supervised deep learning models for COVID-19 CT diagnosis: A systematic review.
?:type
?:year
  • 2022

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