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This paper considers the problem of segmentation of regions filled with the cerebrospinal fluid (CSF) from CT brain images. In particular a 3D segmentation method is proposed. The method performs segmentation by comparing intensity distribution within the user defined seed region with local intensity distributions around all image voxels. In order to speed up the computations, GPU computing is used...
The increasing prevalence of dual medical imaging modalities, such as PET-CT scanners, poses both challenges and opportunities to image segmentation, as they provide distinct but complementary information. In this paper, we propose a novel segmentation algorithm for 3D brain PET-CT images, which classifies each voxel by fusing the voxel's memberships estimated from four points of view using the PET...
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