A general overview of deep learning based COVID-19 diagnosis system.
Abstract:
Novel coronavirus (COVID-19) outbreak, has raised a calamitous situation all over the world and has become one of the most acute and severe ailments in the past hundred y...Show MoreMetadata
Abstract:
Novel coronavirus (COVID-19) outbreak, has raised a calamitous situation all over the world and has become one of the most acute and severe ailments in the past hundred years. The prevalence rate of COVID-19 is rapidly rising every day throughout the globe. Although no vaccines for this pandemic have been discovered yet, deep learning techniques proved themselves to be a powerful tool in the arsenal used by clinicians for the automatic diagnosis of COVID-19. This paper aims to overview the recently developed systems based on deep learning techniques using different medical imaging modalities like Computer Tomography (CT) and X-ray. This review specifically discusses the systems developed for COVID-19 diagnosis using deep learning techniques and provides insights on well-known data sets used to train these networks. It also highlights the data partitioning techniques and various performance measures developed by researchers in this field. A taxonomy is drawn to categorize the recent works for proper insight. Finally, we conclude by addressing the challenges associated with the use of deep learning methods for COVID-19 detection and probable future trends in this research area. The aim of this paper is to facilitate experts (medical or otherwise) and technicians in understanding the ways deep learning techniques are used in this regard and how they can be potentially further utilized to combat the outbreak of COVID-19.
A general overview of deep learning based COVID-19 diagnosis system.
Published in: IEEE Access ( Volume: 9)
Funding Agency:
Department of Electrical and Computer Engineering, Centre for Pattern Analysis and Machine Intelligence, University of Waterloo, Waterloo, ON, Canada
Md. Milon Islam received the B.Sc. and M.Sc. degrees in computer science and engineering (CSE) from the Khulna University of Engineering & Technology, Khulna, Bangladesh, in 2016 and 2019, respectively. He is currently pursuing the Ph.D. degree with the Centre for Pattern Analysis and Machine Intelligence, Department of Electrical and Computer Engineering, University of Waterloo, Canada. In 2017, he joined the Department ...Show More
Md. Milon Islam received the B.Sc. and M.Sc. degrees in computer science and engineering (CSE) from the Khulna University of Engineering & Technology, Khulna, Bangladesh, in 2016 and 2019, respectively. He is currently pursuing the Ph.D. degree with the Centre for Pattern Analysis and Machine Intelligence, Department of Electrical and Computer Engineering, University of Waterloo, Canada. In 2017, he joined the Department ...View more
Department of Electrical and Computer Engineering, Centre for Pattern Analysis and Machine Intelligence, University of Waterloo, Waterloo, ON, Canada
Fakhri Karray (Fellow, IEEE) is currently the University Research Chair Professor of electrical and computer engineering and the Co-Director of the Institute of Artificial Intelligence, University of Waterloo. He holds the Loblaw’s Research Chair of Artificial Intelligence. His research interests include intelligent systems and operational artificial intelligence as applied to autonomous machines/devices and man machine i...Show More
Fakhri Karray (Fellow, IEEE) is currently the University Research Chair Professor of electrical and computer engineering and the Co-Director of the Institute of Artificial Intelligence, University of Waterloo. He holds the Loblaw’s Research Chair of Artificial Intelligence. His research interests include intelligent systems and operational artificial intelligence as applied to autonomous machines/devices and man machine i...View more
Department of Computer Science, University of Calgary, Calgary, AB, Canada
Reda Alhajj (Senior Member, IEEE) is currently a Professor with the Department of Computer Science, University of Calgary, Canada. He is also affiliated with Department of Computer Engineering, Istanbul Medipol University, Turkey, and the Department of Health Informatics, University of Southern Denmark, Odense. He has served on the program committee of several international conferences. His research interests include data...Show More
Reda Alhajj (Senior Member, IEEE) is currently a Professor with the Department of Computer Science, University of Calgary, Canada. He is also affiliated with Department of Computer Engineering, Istanbul Medipol University, Turkey, and the Department of Health Informatics, University of Southern Denmark, Odense. He has served on the program committee of several international conferences. His research interests include data...View more
Institute for Personalized Cancer Therapy, MD Anderson Cancer Center, Houston, TX, USA
Jia Zeng received the Ph.D. degree in computer science from the University of Calgary, Canada. Her research interests include information retrieval, using machine learning and multi-agent system to identify motifs in human genomes, to conduct breast cancer classification, as well as other biomedical related topics. After receiving additional training at the Baylor College of Medicine under an interdisciplinary computation...Show More
Jia Zeng received the Ph.D. degree in computer science from the University of Calgary, Canada. Her research interests include information retrieval, using machine learning and multi-agent system to identify motifs in human genomes, to conduct breast cancer classification, as well as other biomedical related topics. After receiving additional training at the Baylor College of Medicine under an interdisciplinary computation...View more
Contents Department of Electrical and Computer Engineering, Centre for Pattern Analysis and Machine Intelligence, University of Waterloo, Waterloo, ON, Canada
Md. Milon Islam received the B.Sc. and M.Sc. degrees in computer science and engineering (CSE) from the Khulna University of Engineering & Technology, Khulna, Bangladesh, in 2016 and 2019, respectively. He is currently pursuing the Ph.D. degree with the Centre for Pattern Analysis and Machine Intelligence, Department of Electrical and Computer Engineering, University of Waterloo, Canada. In 2017, he joined the Department of Computer Science and Engineering, Khulna University of Engineering & Technology, as a Lecturer. He is also working as an Assistant Professor (on leave) of CSE with the Khulna University of Engineering & Technology. He has published several number of research papers in peer reviewed journals, book chapters and conferences. In addition, he is a reviewer of several reputed journals and conferences. His research interests include machine learning and its application, deep learning, intelligent systems design, health informatics, the Internet of Things (IoT), and to solve real life problems with the concept of computer science.
Md. Milon Islam received the B.Sc. and M.Sc. degrees in computer science and engineering (CSE) from the Khulna University of Engineering & Technology, Khulna, Bangladesh, in 2016 and 2019, respectively. He is currently pursuing the Ph.D. degree with the Centre for Pattern Analysis and Machine Intelligence, Department of Electrical and Computer Engineering, University of Waterloo, Canada. In 2017, he joined the Department of Computer Science and Engineering, Khulna University of Engineering & Technology, as a Lecturer. He is also working as an Assistant Professor (on leave) of CSE with the Khulna University of Engineering & Technology. He has published several number of research papers in peer reviewed journals, book chapters and conferences. In addition, he is a reviewer of several reputed journals and conferences. His research interests include machine learning and its application, deep learning, intelligent systems design, health informatics, the Internet of Things (IoT), and to solve real life problems with the concept of computer science.View more
Department of Electrical and Computer Engineering, Centre for Pattern Analysis and Machine Intelligence, University of Waterloo, Waterloo, ON, Canada
Fakhri Karray (Fellow, IEEE) is currently the University Research Chair Professor of electrical and computer engineering and the Co-Director of the Institute of Artificial Intelligence, University of Waterloo. He holds the Loblaw’s Research Chair of Artificial Intelligence. His research interests include intelligent systems and operational artificial intelligence as applied to autonomous machines/devices and man machine interaction systems through speech, gesture, and natural language. He has authored extensively in these areas and has disseminated his work in journals, conference proceedings, and textbooks. He is the coauthor of two dozen U.S. patents, has chaired/co-chaired several international conferences in his area of expertise and has served as keynote/plenary speaker on numerous occasions. He has served as the University of Waterloo’s Academic Advisor for Amazon’s Alexa Fund Fellowship Program. He is also a Fellow of the Canadian Academy of Engineering and the Engineering Institute of Canada. He has also served as the Associate Editor/Guest Editor for a variety of leading journals in the field, including the IEEE Transactions on Cybernetics, the IEEE Transactions on Neural Networks and Learning Systems, the IEEE Transactions on Mechatronics, and the IEEE Computational Intelligence Magazine. His work has been featured on Discovery Channel, CBC, Globe and Mail, The Record, Reuters, Daily Mail, Washington Post, Wired Magazine, and DigitalTrends portals.
Fakhri Karray (Fellow, IEEE) is currently the University Research Chair Professor of electrical and computer engineering and the Co-Director of the Institute of Artificial Intelligence, University of Waterloo. He holds the Loblaw’s Research Chair of Artificial Intelligence. His research interests include intelligent systems and operational artificial intelligence as applied to autonomous machines/devices and man machine interaction systems through speech, gesture, and natural language. He has authored extensively in these areas and has disseminated his work in journals, conference proceedings, and textbooks. He is the coauthor of two dozen U.S. patents, has chaired/co-chaired several international conferences in his area of expertise and has served as keynote/plenary speaker on numerous occasions. He has served as the University of Waterloo’s Academic Advisor for Amazon’s Alexa Fund Fellowship Program. He is also a Fellow of the Canadian Academy of Engineering and the Engineering Institute of Canada. He has also served as the Associate Editor/Guest Editor for a variety of leading journals in the field, including the IEEE Transactions on Cybernetics, the IEEE Transactions on Neural Networks and Learning Systems, the IEEE Transactions on Mechatronics, and the IEEE Computational Intelligence Magazine. His work has been featured on Discovery Channel, CBC, Globe and Mail, The Record, Reuters, Daily Mail, Washington Post, Wired Magazine, and DigitalTrends portals.View more
Department of Computer Science, University of Calgary, Calgary, AB, Canada
Reda Alhajj (Senior Member, IEEE) is currently a Professor with the Department of Computer Science, University of Calgary, Canada. He is also affiliated with Department of Computer Engineering, Istanbul Medipol University, Turkey, and the Department of Health Informatics, University of Southern Denmark, Odense. He has served on the program committee of several international conferences. His research interests include data science and network science from management to integration and analysis. His current research interests include data management, analysis, and mining; social media and network analysis; systems and computational biology, bioinformatics, and health informatics; homeland security, terror and criminal networks, and so on; and sequence analysis with emphasis on domains, such as financial, weather, traffic, energy, and so on. He also leads a large research group of Ph.D. and M.Sc. candidates. He received best graduate supervision award and community service award at the University of Calgary. He is also a Founding Editor-in-Chief of the Springer premier journal Social Networks Analysis and Mining, a Founding Editor-in-Chief of Springer Series Lecture Notes on Social Networks, a Founding Editor-in-Chief of Springer journal Network Modeling Analysis in Health Informatics and Bioinformatics, a Founding Co-Editor-in-Chief of Springer Encyclopedia on Social Networks Analysis and Mining, a founding steering chair of the flagship conference “IEEE/ACM International Conference on Advances in Social Network Analysis and Mining”, and three accompanying symposiums FAB, FOSINT-SI, and HI-BI-BI. He is also a member of the editorial board of the Journal of Information Assurance and Security, Journal of Data Mining and Bioinformatics, Journal of Data Mining, Modeling and Management; he has been a guest editor of a number of special issues and edited a number of conference proceedings.
Reda Alhajj (Senior Member, IEEE) is currently a Professor with the Department of Computer Science, University of Calgary, Canada. He is also affiliated with Department of Computer Engineering, Istanbul Medipol University, Turkey, and the Department of Health Informatics, University of Southern Denmark, Odense. He has served on the program committee of several international conferences. His research interests include data science and network science from management to integration and analysis. His current research interests include data management, analysis, and mining; social media and network analysis; systems and computational biology, bioinformatics, and health informatics; homeland security, terror and criminal networks, and so on; and sequence analysis with emphasis on domains, such as financial, weather, traffic, energy, and so on. He also leads a large research group of Ph.D. and M.Sc. candidates. He received best graduate supervision award and community service award at the University of Calgary. He is also a Founding Editor-in-Chief of the Springer premier journal Social Networks Analysis and Mining, a Founding Editor-in-Chief of Springer Series Lecture Notes on Social Networks, a Founding Editor-in-Chief of Springer journal Network Modeling Analysis in Health Informatics and Bioinformatics, a Founding Co-Editor-in-Chief of Springer Encyclopedia on Social Networks Analysis and Mining, a founding steering chair of the flagship conference “IEEE/ACM International Conference on Advances in Social Network Analysis and Mining”, and three accompanying symposiums FAB, FOSINT-SI, and HI-BI-BI. He is also a member of the editorial board of the Journal of Information Assurance and Security, Journal of Data Mining and Bioinformatics, Journal of Data Mining, Modeling and Management; he has been a guest editor of a number of special issues and edited a number of conference proceedings.View more
Institute for Personalized Cancer Therapy, MD Anderson Cancer Center, Houston, TX, USA
Jia Zeng received the Ph.D. degree in computer science from the University of Calgary, Canada. Her research interests include information retrieval, using machine learning and multi-agent system to identify motifs in human genomes, to conduct breast cancer classification, as well as other biomedical related topics. After receiving additional training at the Baylor College of Medicine under an interdisciplinary computational cancer biologist fellowship from the Cancer Prevention Institute of Texas, she joined the MD Anderson Cancer Center and started leading the efforts to build an overarching informatics infrastructure for personalized cancer medicine at the world’s leading cancer hospital.
Jia Zeng received the Ph.D. degree in computer science from the University of Calgary, Canada. Her research interests include information retrieval, using machine learning and multi-agent system to identify motifs in human genomes, to conduct breast cancer classification, as well as other biomedical related topics. After receiving additional training at the Baylor College of Medicine under an interdisciplinary computational cancer biologist fellowship from the Cancer Prevention Institute of Texas, she joined the MD Anderson Cancer Center and started leading the efforts to build an overarching informatics infrastructure for personalized cancer medicine at the world’s leading cancer hospital.View more