Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks
AAAli Abbasian ArdakaniARAlireza Rajabzadeh KanafiURU. Rajendra AcharyaNKNazanin KhademAMAfshin Mohammadi
Iran University of Medical Sciences · Guilan University of Medical Sciences · +6 more institutions
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Abstract
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879
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Authors
5- AAAli Abbasian Ardakani
Iran University of Medical Sciences
- ARAlireza Rajabzadeh Kanafi
Guilan University of Medical Sciences, Razi Hospital
- URU. Rajendra Acharya
Singapore University of Social Sciences, Taylor's University, Asia University, Ngee Ann Polytechnic
- NKNazanin Khadem
Urmia University
- AMAfshin MohammadiCorresponding
Urmia University
Topics & keywords
Topics
Keywords
- Coronavirus disease 2019 (COVID-19)
- Convolutional neural network
- Workload
- Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
- Pneumonia
- Residual neural network
- Artificial intelligence
- 2019-20 coronavirus outbreak
UN Sustainable Development Goals
- Good health and well-being
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