Review on Diagnosis of COVID-19 from Chest CT Images Using Artificial Intelligence
Joint Authors
Ozsahin, Ilker
Sekeroglu, Boran
Musa, Musa Sani
Mustapha, Mubarak Taiwo
Uzun Ozsahin, Dilber
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-26
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
The COVID-19 diagnostic approach is mainly divided into two broad categories, a laboratory-based and chest radiography approach.
The last few months have witnessed a rapid increase in the number of studies use artificial intelligence (AI) techniques to diagnose COVID-19 with chest computed tomography (CT).
In this study, we review the diagnosis of COVID-19 by using chest CT toward AI.
We searched ArXiv, MedRxiv, and Google Scholar using the terms “deep learning”, “neural networks”, “COVID-19”, and “chest CT”.
At the time of writing (August 24, 2020), there have been nearly 100 studies and 30 studies among them were selected for this review.
We categorized the studies based on the classification tasks: COVID-19/normal, COVID-19/non-COVID-19, COVID-19/non-COVID-19 pneumonia, and severity.
The sensitivity, specificity, precision, accuracy, area under the curve, and F1 score results were reported as high as 100%, 100%, 99.62, 99.87%, 100%, and 99.5%, respectively.
However, the presented results should be carefully compared due to the different degrees of difficulty of different classification tasks.
American Psychological Association (APA)
Ozsahin, Ilker& Sekeroglu, Boran& Musa, Musa Sani& Mustapha, Mubarak Taiwo& Uzun Ozsahin, Dilber. 2020. Review on Diagnosis of COVID-19 from Chest CT Images Using Artificial Intelligence. Computational and Mathematical Methods in Medicine،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1139686
Modern Language Association (MLA)
Ozsahin, Ilker…[et al.]. Review on Diagnosis of COVID-19 from Chest CT Images Using Artificial Intelligence. Computational and Mathematical Methods in Medicine No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1139686
American Medical Association (AMA)
Ozsahin, Ilker& Sekeroglu, Boran& Musa, Musa Sani& Mustapha, Mubarak Taiwo& Uzun Ozsahin, Dilber. Review on Diagnosis of COVID-19 from Chest CT Images Using Artificial Intelligence. Computational and Mathematical Methods in Medicine. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1139686
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1139686