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  • [\'Department of Computer Engineering, Yazd University, Yazd, Iran. Electronic address: mohamad.momeny@gmail.com.\', \'Department of Environmental Engineering, Esfarayen Faculty of Medical Science, Esfarayen, Iran. Electronic address: en.neshat@gmail.com.\', \'School of Computing Science, Simon Fraser University, Burnaby, BC, V5A 1S6, Canada.\', \'Department of Engineering Science, Faculty of Advanced Technologies, University of Mohaghegh Ardabili, Namin, Iran.\', \'Department of Medical-Surgical Nursing, Esfarayen Faculty of Medical Science, Esfarayen, Iran.\', \'Department of Biosystems Engineering, University of Mohaghegh Ardabili, Ardabil, Iran.\']
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  • S0010-4825(21)00498-410.1016/j.compbiomed.2021.104704
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  • Computers in biology and medicine
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  • 34352454
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  • Learning-to-augment strategy using noisy and denoised data: Improving generalizability of deep CNN for the detection of COVID-19 in X-ray images.
?:type
?:year
  • 2021

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