PropertyValue
is ?:annotates of
?:authorAffiliation
  • [\'Center for Advanced Modelling and Geospatial Information Systems (CAMGIS), Faculty of Engineering and Information Technology, University of Technology Sydney, Australia.\', \'Center of Excellence for Climate Change Research, King Abdulaziz University, Jeddah 21589, Saudi Arabia.\', \'Earth Observation Center, Institute of Climate Change, Universiti Kebangsaan Malaysia, Selangor 43600, Malaysia.\', \'Fellowship of Interventional Radiology Imaging Center, IranMehr General Hospital, Iran.\', \'Machine Vision and Digital Health (MaViDH), School of Computing, Mathematics, and Engineering, Charles Sturt University, Australia.\']
?:citedBy
  • -1
?:creator
?:doi
  • 10.3934/mbe.2021456
?:doi
?:hasPublicationType
?:journal
  • Mathematical biosciences and engineering : MBE
is ?:pmid of
?:pmid
?:pmid
  • 34814345
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • -1.0
?:rankingScore_hIndex
  • -1
?:title
  • Factors determining generalization in deep learning models for scoring COVID-CT images.
?:type
?:year
  • 2021

Metadata

Anon_0  
expand all