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  • [\'Medical Physics Department, School of Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran. Electronic address: A.ardekani@live.com.\', \'Department of Radiology, Razi Hospital, Guilan University of Medical Sciences, Rasht, Iran. Electronic address: Alireza_r245@yahoo.com.\', \'Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore; Department of Biomedical Engineering, School of Science and Technology, Singapore University of Social Sciences, Singapore; School of Medicine, Faculty of Health and Medical Sciences, Taylor\'s University, 47500, Subang Jaya, Malaysia; Department of Biomedical Informatics and Medical Engineering, Asia University, Taiwan. Electronic address: aru@np.edu.sg.\', \'Department of Radiology, Faculty of Medicine, Urmia University of Medical Science, Urmia, Iran. Electronic address: Nazanin.khadem74@gmail.com.\', \'Department of Radiology, Faculty of Medicine, Urmia University of Medical Science, Urmia, Iran. Electronic address: Afshin.mohdi@gmail.com.\']
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  • -1
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  • S0010-4825(20)30164-510.1016/j.compbiomed.2020.103795
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  • Computers in biology and medicine
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  • Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks.
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?:year
  • 2020

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