Detection of covid-19 pneumonia effects in chest x-rays using deep learning

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dc.authorid0000-0001-9145-1939en_US
dc.contributor.authorAhmed, Mohammed Khamees
dc.date.accessioned2023-10-16T13:19:50Z
dc.date.available2023-10-16T13:19:50Z
dc.date.issued2022en_US
dc.departmentEnstitüler, Lisansüstü Eğitim Enstitüsü, Bilişim Teknolojileri Ana Bilim Dalıen_US
dc.description.abstractThe development of technological tools based on artificial intelligence (AI) could contribute significantly in the fight against COVID-19. AI is the ability of a machine to apply human cognitive functions. In this paper we propose a deep learning based model for COVID-19 detection relying on the effects it yields on the lungs.en_US
dc.identifier.citationAhmed, M. K. (2022). Detection of covid-19 pneumonia effects in chest x-rays using deep learning. AURUM Journal of Health Sciences, 4(1), 25-33.en_US
dc.identifier.endpage33en_US
dc.identifier.issn1234-5678
dc.identifier.issue1en_US
dc.identifier.startpage25en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12939/4117
dc.identifier.volume4en_US
dc.institutionauthorAhmed, Mohammed Khamees
dc.language.isoen
dc.publisherAltınbaş Üniversitesien_US
dc.relation.ispartofAURUM Journal of Health Sciences
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - İdari Personel ve Öğrencien_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectMRIen_US
dc.subjectXRAYSen_US
dc.subjectCOVID-19en_US
dc.subjectDeep learningen_US
dc.subjectSVMen_US
dc.titleDetection of covid-19 pneumonia effects in chest x-rays using deep learning
dc.typeArticle

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2022 - Cilt 4 - Sayı 1