COVID-19 Detection from Chest X-ray Images using CNN

dc.contributor.authorAşıcı, Elif
dc.contributor.authorHameed, Alaa Ali
dc.contributor.authorJamil, Akhtar
dc.contributor.authorRasheed, Jawad
dc.contributor.authorRasheed, Jawad
dc.date.accessioned2025-01-18T08:52:46Z
dc.date.available2025-01-18T08:52:46Z
dc.date.issued2021en_US
dc.departmentLisansüstü Eğitim Enstitüsüen_US
dc.departmentMühendislik ve Doğa Bilimleri Fakültesien_US
dc.description1st International Conference on Computing and Machine Intelligence (ICMI-2021) February 19-20, 2021, Istanbul, Turkey -- Editorial Board Dr. Akhtar JAMIL Dr. Alaa Ali HAMEED -- ISBN: 9786050667578 -- Istanbul Sabahattin Zaim University Yayınları; No. 57.en_US
dc.description.abstractAfter Covid-19 was detected in China in December 2019, it spread rapidly and affected the whole world. The similarity of COVID-19 disease with other lung infections makes it difficult to make an accuracy prediction and diagnosis. In addition, with the high spread rate of COVID-19, the need for a fast system and method for diagnosing cases has increased over time. For this reason, studies in the field of health have increased rapidly to prevent this pandemic disease, and various methods base on artificial intelligence (AI) have been developed to support health practitioners in quick decision making. This study focuses on COVID-19 identification with CNN using X-ray images. Moreover, the proposed method was compared with some recent studies for COVID-19 classification. The result presented are in line with the start of the art method as the proposed method provides a good recognition rate for the detection of Covid-19 .en_US
dc.identifier.endpage370en_US
dc.identifier.startpage366en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12436/6996
dc.institutionauthorAşıcı, Elif
dc.institutionauthorHameed, Alaa Ali
dc.institutionauthorJamil, Akhtar
dc.institutionauthorRasheed, Jawad
dc.language.isoen
dc.publisherİstanbul Sabahattin Zaim Üniversitesien_US
dc.relation.ispartof1st International Conference on Computing and Machine Intelligenceen_US
dc.relation.publicationcategoryKonferans Öğesi - Ulusal - İdari Personel ve Öğrencien_US
dc.relation.publicationcategoryKonferans Öğesi - Ulusal - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectCovid-19en_US
dc.subjectCNNen_US
dc.subjectDeep Learningen_US
dc.subjectImage Processingen_US
dc.subjectArtificial intelligenceen_US
dc.titleCOVID-19 Detection from Chest X-ray Images using CNNen_US
dc.typeConference Object
dspace.entity.typePublication
relation.isAuthorOfPublicationf9b9b46c-d923-42d3-b413-dd851c2e913a
relation.isAuthorOfPublication.latestForDiscoveryf9b9b46c-d923-42d3-b413-dd851c2e913a

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