![](/images/graphics-bg.png)
Review on Diagnosis of COVID-19 from Chest CT Images Using Artificial Intelligence
المؤلفون المشاركون
Ozsahin, Ilker
Sekeroglu, Boran
Musa, Musa Sani
Mustapha, Mubarak Taiwo
Uzun Ozsahin, Dilber
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-09-26
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1139686
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
![](/images/ebook-kashef.png)
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
![](/images/kashef-image.png)