Total variation based 3D skull segmentation

dc.contributor.authorAtasoy, F.
dc.contributor.authorSen, B.
dc.contributor.authorNar, F.
dc.contributor.authorOzcan, C.
dc.contributor.authorBozkurt, I.
dc.date.accessioned2024-09-29T16:16:41Z
dc.date.available2024-09-29T16:16:41Z
dc.date.issued2016
dc.departmentKarabük Üniversitesien_US
dc.description24th Signal Processing and Communication Application Conference, SIU 2016 -- 16 May 2016 through 19 May 2016 -- Zonguldak -- 122605en_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 ill-posed 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. © 2016 IEEE.en_US
dc.identifier.doi10.1109/SIU.2016.7495999
dc.identifier.endpage1356en_US
dc.identifier.isbn978-150901679-2
dc.identifier.scopus2-s2.0-84982798398en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage1353en_US
dc.identifier.urihttps://doi.org/10.1109/SIU.2016.7495999
dc.identifier.urihttps://hdl.handle.net/20.500.14619/9266
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedingsen_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.title.alternativeToplam Degisim Tabanli 3B Kafatasi Bölütlemeen_US
dc.typeConference Objecten_US

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