Determination of Covid-19 Possible Cases by Using Deep Learning Techniques

OĞUZ, Çinare; Yağanoğlu, Mete

doi:10.16984/saufenbilder.774435

Determination of Covid-19 Possible Cases by Using Deep Learning Techniques

Çinare OĞUZ, (Girilmemişş)

Mete YAĞANOĞLU (Atatürk Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü, Erzurum, Türkiye)

Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi

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Yıl: 2021 Cilt: 25 Sayı: 1 Sayfa Aralığı: 1 - 11 Metin Dili: İngilizce DOI: 10.16984/saufenbilder.774435 İndeks Tarihi: 10-06-2021

Determination of Covid-19 Possible Cases by Using Deep Learning Techniques

Öz:

A large number of cases have been identified in the world with the emergence of COVID-19and the rapid spread of the virus. Thousands of people have died due to COVID-19. This veryspreading virus may result in serious consequnces including pneumonia, kidney failure acuterespiratory infection. It can even cause death in severe cases. Therefore, early diagnosis isvital. Due to the limited number of COVID-19 test kits, one of the first diagnostic techniquesin suspected COVID-19 patients is to have Thorax Computed Tomography (CT) applied toindividuals with suspected COVID-19 cases when it is not possible to administer these testkits. In this study, it was aimed to analyze the CT images automatically and to direct probableCOVID-19 cases to PCR test quickly in order to make quick controls and ease the burden ofhealthcare workers. ResNet-50 and Alexnet deep learning techniques were used in theextraction of deep features. Their performance was measured using Support Vector Machines(SVM), Nearest neighbor algorithm (KNN), Linear Discrimination Analysis (LDA), Decisiontrees, Random forest (RF) and Naive Bayes methods as the methods of classification. Thebest results were obtained with ResNet-50 and SVM classification methods. The success ratewas found as 95.18%.

Anahtar Kelime:

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık

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APA	OĞUZ Ç, Yağanoğlu M (2021). Determination of Covid-19 Possible Cases by Using Deep Learning Techniques. , 1 - 11. 10.16984/saufenbilder.774435
Chicago	OĞUZ Çinare,Yağanoğlu Mete Determination of Covid-19 Possible Cases by Using Deep Learning Techniques. (2021): 1 - 11. 10.16984/saufenbilder.774435
MLA	OĞUZ Çinare,Yağanoğlu Mete Determination of Covid-19 Possible Cases by Using Deep Learning Techniques. , 2021, ss.1 - 11. 10.16984/saufenbilder.774435
AMA	OĞUZ Ç,Yağanoğlu M Determination of Covid-19 Possible Cases by Using Deep Learning Techniques. . 2021; 1 - 11. 10.16984/saufenbilder.774435
Vancouver	OĞUZ Ç,Yağanoğlu M Determination of Covid-19 Possible Cases by Using Deep Learning Techniques. . 2021; 1 - 11. 10.16984/saufenbilder.774435
IEEE	OĞUZ Ç,Yağanoğlu M "Determination of Covid-19 Possible Cases by Using Deep Learning Techniques." , ss.1 - 11, 2021. 10.16984/saufenbilder.774435
ISNAD	OĞUZ, Çinare - Yağanoğlu, Mete. "Determination of Covid-19 Possible Cases by Using Deep Learning Techniques". (2021), 1-11. https://doi.org/10.16984/saufenbilder.774435

APA	OĞUZ Ç, Yağanoğlu M (2021). Determination of Covid-19 Possible Cases by Using Deep Learning Techniques. Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 25(1), 1 - 11. 10.16984/saufenbilder.774435
Chicago	OĞUZ Çinare,Yağanoğlu Mete Determination of Covid-19 Possible Cases by Using Deep Learning Techniques. Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi 25, no.1 (2021): 1 - 11. 10.16984/saufenbilder.774435
MLA	OĞUZ Çinare,Yağanoğlu Mete Determination of Covid-19 Possible Cases by Using Deep Learning Techniques. Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, vol.25, no.1, 2021, ss.1 - 11. 10.16984/saufenbilder.774435
AMA	OĞUZ Ç,Yağanoğlu M Determination of Covid-19 Possible Cases by Using Deep Learning Techniques. Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi. 2021; 25(1): 1 - 11. 10.16984/saufenbilder.774435
Vancouver	OĞUZ Ç,Yağanoğlu M Determination of Covid-19 Possible Cases by Using Deep Learning Techniques. Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi. 2021; 25(1): 1 - 11. 10.16984/saufenbilder.774435
IEEE	OĞUZ Ç,Yağanoğlu M "Determination of Covid-19 Possible Cases by Using Deep Learning Techniques." Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 25, ss.1 - 11, 2021. 10.16984/saufenbilder.774435
ISNAD	OĞUZ, Çinare - Yağanoğlu, Mete. "Determination of Covid-19 Possible Cases by Using Deep Learning Techniques". Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi 25/1 (2021), 1-11. https://doi.org/10.16984/saufenbilder.774435