PropertyValue
is ?:annotates of
?:authorAffiliation
  • [\'Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, Egypt.\', \'Security Engineering Lab, Computer Science Department, Prince Sultan University, Riyadh, Saudi Arabia.\', \'Electrical Engineering Department, KACST-TIC in Radio Frequency and Photonics for the e-Society (RFTONICS), King Saud University, Riyadh, Saudi Arabia.\', \'Department of Electrical Engineering, King Saud University, Riyadh, Saudi Arabia.\', \'Department of Information Technology, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.\']
?:citedBy
  • -1
?:creator
?:doi
?:doi
  • 10.1002/jemt.23713
?:hasPublicationType
?:journal
  • Microscopy research and technique
is ?:pmid of
?:pmid
?:pmid
  • 34121273
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • 0.431
?:rankingScore_hIndex
  • 107
is ?:relation_isRelatedTo_publication of
?:title
  • Deep convolutional neural networks for COVID-19 automatic diagnosis.
?:type
?:year
  • 2021

Metadata

Anon_0  
expand all