Evaluation of Poor Prognosis in rRT-PCR Positive Covid-19 Cases with Using Deep Transfer Learning Network

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dc.contributor.authorŞalk, İsmail
dc.contributor.authorPolat, Özlem
dc.contributor.authorHasbek, Mürşit
dc.date.accessioned2024-10-26T17:42:47Z
dc.date.available2024-10-26T17:42:47Z
dc.date.issued2022
dc.departmentSivas Cumhuriyet Üniversitesi
dc.description.abstractThe infection called Covid-19 caused by the new type of coronavirus (SARS-CoV-2) is an epidemic and deadly disease that spreads rapidly all over the world. Early detection of Covid-19 will enable the patient to receive appropriate treatment and increase the chance of survival. In this study, it is aimed to investigate the detection of poor prognosis from chest CT images in Covid-19 patients who died and healed using deep learning. For this purpose, a dataset containing a total of 5997 CT images were used and images were classified using the Inception-V3. In order to evaluate the classifier ROC curves are drawn, AUC and accuracy values are used as performance metrics. Inception-V3 model was run 10 times, and a maximum classification performance of 97,55% and an average of 97,01% was achieved. The classification results prove that Inception-V3 can classify CT images with a high accuracy rate for evaluation of Covid-19 prognosis.
dc.identifier.doi10.47495/okufbed.1024845
dc.identifier.endpage521
dc.identifier.issn2687-3729
dc.identifier.issue2
dc.identifier.startpage505
dc.identifier.trdizinid1204738
dc.identifier.urihttps://doi.org/10.47495/okufbed.1024845
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1204738
dc.identifier.urihttps://hdl.handle.net/20.500.12418/24819
dc.identifier.volume5
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.relation.ispartofOsmaniye Korkut Ata Üniversitesi Fen Bilimleri Enstitüsü Dergisi (Online)
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectCovid-19
dc.subjectClassification
dc.subjectTransfer learning
dc.subjectConvolutional neural networks
dc.subjectInception-V3
dc.titleEvaluation of Poor Prognosis in rRT-PCR Positive Covid-19 Cases with Using Deep Transfer Learning Network
dc.typeArticle

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