Detection of covid-19 in low energy chest x-rays using fast R-CNN

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dc.authorid0000-0002-0596-2546en_US
dc.authorid0000-0002-0596-2546en_US
dc.contributor.authorMamoori, Maryam Kareem Sakran
dc.contributor.authorIbrahim, Abdullahi Abdu
dc.date.accessioned2023-10-16T13:19:39Z
dc.date.available2023-10-16T13:19:39Z
dc.date.issued2022en_US
dc.departmentEnstitüler, Lisansüstü Eğitim Enstitüsü, Elektrik ve Bilgisayar Mühendisliği Ana Bilim Dalıen_US
dc.description.abstractIn recent years, it has been shown that deep learning can produce similar performance increases in the domain of medical image analysis for object detection and segmentation tasks. Notable recent work includes important medical applications, for example, in the field of pulmonology (classification of lung diseases and detection of pulmonary nodules on CT images in this paper, we present a variation of CNNs, which works extremely well on a current data set — a customized architecture with optimal parameters. In our contribution, we focus on lowering the complexity of our network, while yet reaching a phenomenally high degree of accuracy. To achieve this aim, our model has been tailored for high performance and an easy design.en_US
dc.identifier.citationMamoori, M. K. S.,Ibrahim, A. A. (2022). Detection of covid-19 in low energy chest x-rays using fast R-CNN. AURUM Journal of Health Sciences, 4(1), 35-43.en_US
dc.identifier.endpage43en_US
dc.identifier.issn1234-5678
dc.identifier.issue1en_US
dc.identifier.startpage35en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12939/4116
dc.identifier.volume4en_US
dc.institutionauthorMamoori, Maryam Kareem Sakran
dc.institutionauthorIbrahim, Abdullahi Abdu
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.subjectComponenten_US
dc.subjectFormattingen_US
dc.subjectStyleen_US
dc.subjectStylingen_US
dc.subjectInserten_US
dc.titleDetection of covid-19 in low energy chest x-rays using fast R-CNN
dc.typeArticle

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2022 - Cilt 4 - Sayı 1