Total Variation Based 3D Skull Segmentation

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dc.authoridSEN, BAHA/0000-0003-3577-2548
dc.authoridBozkurt, Ismail/0000-0002-6719-5522
dc.authoridOzcan, Caner/0000-0002-2854-4005
dc.authoridNAR, Fatih/0000-0002-3003-8136
dc.contributor.authorAtasoy, Ferhat
dc.contributor.authorSen, Baha
dc.contributor.authorNar, Fatih
dc.contributor.authorOzcan, Caner
dc.contributor.authorBozkurt, Ismail
dc.date.accessioned2024-09-29T16:11:28Z
dc.date.available2024-09-29T16:11:28Z
dc.date.issued2016
dc.departmentKarabük Üniversitesien_US
dc.description24th Signal Processing and Communication Application Conference (SIU) -- MAY 16-19, 2016 -- Zonguldak, TURKEYen_US
dc.description.abstractSegmentation is widely used for determining tumor and other lesions and classifying tissues for various analysis purposes in medical images. However, being an illposed problem, there is no single segmentation method which can perform successfully for all kind of data. In this study, a novel total variation (TV) based skull segmentation method is proposed. Skull segmentation performance of the proposed method is shown using computed tomography (CT) images.en_US
dc.description.sponsorshipIEEE,Bulent Ecevit Univ, Dept Elect & Elect Engn,Bulent Ecevit Univ, Dept Biomed Engn,Bulent Ecevit Univ, Dept Comp Engnen_US
dc.identifier.endpage1356en_US
dc.identifier.isbn978-1-5090-1679-2
dc.identifier.startpage1353en_US
dc.identifier.urihttps://hdl.handle.net/20.500.14619/8446
dc.identifier.wosWOS:000391250900315en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2016 24th Signal Processing and Communication Application Conference (Siu)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subject3D segmentationen_US
dc.subjectCT segmentationen_US
dc.subjectoptimizationen_US
dc.subjectskull segmentationen_US
dc.subjecttotal variationen_US
dc.titleTotal Variation Based 3D Skull Segmentationen_US
dc.typeConference Objecten_US

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