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ICCV
2007
IEEE
13 years 11 months ago
Fast Automatic Heart Chamber Segmentation from 3D CT Data Using Marginal Space Learning and Steerable Features
Multi-chamber heart segmentation is a prerequisite for global quantification of the cardiac function. The complexity of cardiac anatomy, poor contrast, noise or motion artifacts ...
Yefeng Zheng, Adrian Barbu, Bogdan Georgescu, Mich...
MICCAI
2009
Springer
14 years 5 months ago
Automatic Extraction of Mandibular Nerve and Bone from Cone-Beam CT Data
The exact localization of the mandibular nerve with respect to the bone is important for applications in dental implantology and maxillofacial surgery. Cone beam computed tomograph...
Dagmar Kainmueller, Hans Lamecker, Heiko Seim, ...
ISVC
2009
Springer
13 years 9 months ago
A Novel 3D Segmentation of Vertebral Bones from Volumetric CT Images Using Graph Cuts
Bone mineral density (BMD) measurements and fracture analysis of the spine bones are restricted to the Vertebral bodies (VBs). In this paper, we present a novel and fast 3D segment...
Melih S. Aslan, Asem M. Ali, Ham M. Rara, Ben Arno...
3DPVT
2006
IEEE
183views Visualization» more  3DPVT 2006»
13 years 8 months ago
A CSC Based Classification Method for CT Bone Images
The CSC (color structure code) is a robust and fast two dimensional segmentation method which has been already generalized to three dimensional images. As the CSC does not need an...
Patrick Sturm, Lutz Priese, Haojun Wang
MIA
2011
111views more  MIA 2011»
12 years 11 months ago
Segmenting the prostate and rectum in CT imagery using anatomical constraints
The automatic segmentation of the prostate and rectum from 3-D computed tomography (CT) images is still a challenging problem, and is critical for image-guided therapy application...
Siqi Chen, D. Michael Lovelock, Richard J. Radke