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dc.contributor.authorTulum, Gokalp
dc.contributor.authorAydinli, Bulent
dc.contributor.authorOsman, Onur
dc.contributor.authorYilmaz, Vural Taner
dc.contributor.authorErgin, Tuncer
dc.contributor.authorCuce, Ferhat
dc.contributor.authorDandin, Ozgur
dc.contributor.authorKisaoglu, Abdullah
dc.contributor.authorDemiryilmaz, Ismail
dc.contributor.authorYaprak, Muhittin
dc.date.accessioned2023-02-08T11:57:06Z
dc.date.available2023-02-08T11:57:06Z
dc.date.issued2019en_US
dc.identifier.citationTulum, G., Osman, O., Yilmaz, V. T., Ergin, T., Cüce, F., Dandin, Ö., ... & Aydinli, B. (2019, October). Spleen Segmentation on CT Using Convolutional Neural Network. In 2019 Medical Technologies Congress (TIPTEKNO) (pp. 1-4). IEEE.en_US
dc.identifier.isbn9781728124209
dc.identifier.urihttps.//doi.org/10.1109/TIPTEKNO.2019.8895117
dc.identifier.urihttps://hdl.handle.net/20.500.12294/3261
dc.description.abstractThe automated segmentation systems have been evolving from experimental to clinical applications in radiology. By taking advantage of these, radiologists can increase diagnostic accuracy in their interpretations. In this work we proposed a convolutional neural network based spleen segmentation system. Automatically segmented spleen had an 76.7% sensitivity, 99.8% specificity, 94.7% positive prediction value, 99.9% negative prediction value and 99.8% accuracy. © 2019 IEEE.en_US
dc.language.isoengen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofTIPTEKNO 2019 - Tip Teknolojileri Kongresien_US
dc.identifier.doi10.1109/TIPTEKNO.2019.8895117en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectComputed Tomographyen_US
dc.subjectConvolutional Neural Networken_US
dc.subjectSpleen Segmentationen_US
dc.titleSpleen segmentation on CT using convolutional neural networken_US
dc.title.alternativeBilgisayarli tomografi görüntülerinde konvolüsyonel sinir aǧlari ile dalak siniflandirilmasien_US
dc.typeconferenceObjecten_US
dc.departmentMühendislik ve Mimarlık Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.authorid0000-0001-7675-7999 View this author’s ORCID profileen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.institutionauthorTulum, Gokalp
dc.institutionauthorOsman, Onur
dc.authorscopusid55842020700en_US
dc.authorscopusid10040156600en_US
dc.identifier.scopus2-s2.0-85075618941en_US


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