Atasoy, F.Sen, B.Nar, F.Ozcan, C.Bozkurt, I.2024-09-292024-09-292016978-150901679-2https://doi.org/10.1109/SIU.2016.7495999https://hdl.handle.net/20.500.14619/926624th Signal Processing and Communication Application Conference, SIU 2016 -- 16 May 2016 through 19 May 2016 -- Zonguldak -- 122605Segmentation 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.trinfo:eu-repo/semantics/closedAccess3D segmentationCT segmentationoptimizationskull segmentationtotal variationConference Object10.1109/SIU.2016.74959992-s2.0-849827983981356N/A1353