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  • [\'Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, Canada.\', \'Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada.\', \'Department of Medicine and Diagnostic Radiology, McGill University Health Center-Research Institute, Montreal, QC, Canada.\', \'Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada.\', \'Faculty of Medicine, University of Montreal, Montreal, QC, Canada.\', \'Department of Radiology, Iran university of medical science, Tehran, Iran.\', \'Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada.\', \'Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, Canada. arash.mohammadi@concordia.ca.\']
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  • 10.1038/s41597-021-00900-3
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  • Scientific data
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  • 33927208
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  • COVID-CT-MD, COVID-19 computed tomography scan dataset applicable in machine learning and deep learning.
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?:year
  • 2021

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