Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks
Ali Abbasian ArdakaniMedical Physics Department, School of Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran. Electronic address: [email protected]Alireza Rajabzadeh KanafiDepartment of Radiology, Razi Hospital, Guilan University of Medical Sciences, Rasht, Iran. Electronic address: [email protected]U. Rajendra AcharyaDepartment 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: [email protected]Nazanin KhademDepartment of Radiology, Faculty of Medicine, Urmia University of Medical Science, Urmia, Iran. Electronic address: [email protected]Afshin MohammadiDepartment of Radiology, Faculty of Medicine, Urmia University of Medical Science, Urmia, Iran. Electronic address: [email protected]
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ABI
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