Atasoy, FerhatSen, BahaNar, FatihOzcan, CanerBozkurt, Ismail2024-09-292024-09-292016978-1-5090-1679-2https://hdl.handle.net/20.500.14619/844624th Signal Processing and Communication Application Conference (SIU) -- MAY 16-19, 2016 -- Zonguldak, TURKEYSegmentation 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.trinfo:eu-repo/semantics/closedAccess3D segmentationCT segmentationoptimizationskull segmentationtotal variationTotal Variation Based 3D Skull SegmentationConference Object13561353WOS:000391250900315N/A