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  • [\'Department of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia.\', \'Centre of Artificial Intelligence for Precision Medicines, King Abdulaziz University, Jeddah, Saudi Arabia.\', \'Mathematics Department, Faculty of Science, Al-Azhar University, Naser City, Egypt.\', \'Department of Pharmacy Practice, Faculty of Pharmacy, King Abdulaziz University, Jeddah, Saudi Arabia.\', \'Department of Computer Science, Faculty of Computers and Information Canal Suez University, Ismalila, Egypt.\', \'Department of Pharmaceutics, Faculty of Pharmacy, King Abdulaziz University, Jeddah, Saudi Arabia.\', \'Center of Excellence for Drug Research and Pharmaceutical Industries, King Abdulaziz University, Jeddah, Saudi Arabia.\', \'Department of Diagnostic Radiology, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia.\', \'Imaging Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia.\', \'Department of Mathematics, Faculty of Science, Taif University, Taif, Saudi Arabia.\', \'Department of Mathematics, Faculty of Science, Sohag University, Sohag, Egypt.\']
?:citedBy
  • -1
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?:doi
  • 10.3389/fpubh.2022.819156
?:doi
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?:journal
  • Frontiers in public health
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  • 35309201
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  • 23
?:title
  • COVID-19 Identification System Using Transfer Learning Technique With Mobile-NetV2 and Chest X-Ray Images.
?:type
?:year
  • 2022

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