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» Comparison of 3D Segmentation Algorithms for Medical Imaging
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MICCAI
2005
Springer
14 years 10 months ago
Bone Enhancement Filtering: Application to Sinus Bone Segmentation and Simulation of Pituitary Surgery
We present a novel multi-scale bone enhancement measure that can be used to drive a geometric flow to segment bone structures. This measure has the essential properties to be incor...
Maxime Descoteaux, Michel A. Audette, Kiyoyuki Chi...
ISBI
2006
IEEE
14 years 9 months ago
Landmark matching on the sphere using distance functions
Nonlinear registration of 3D surfaces is important in many medical imaging applications, including the mapping of longitudinal changes in anatomy, or of multi-subject functional M...
Natasha Lepore, Alex D. Leow, Paul M. Thompson
ISBI
2008
IEEE
14 years 9 months ago
Fast no ground truth image registration accuracy evaluation: Comparison of bootstrap and Hessian approaches
Image registration algorithms provide a displacement field between two images. We consider the problem of estimating accuracy of the calculated displacement field from the input i...
Jan Kybic
IJCV
2006
102views more  IJCV 2006»
13 years 9 months ago
A Novel Representation and Feature Matching Algorithm for Automatic Pairwise Registration of Range Images
Automatic registration of range images is a fundamental problem in 3D modeling of free-from objects. Various feature matching algorithms have been proposed for this purpose. Howeve...
Ajmal S. Mian, Mohammed Bennamoun, Robyn A. Owens
ISBI
2006
IEEE
14 years 3 months ago
TOADS: topology-preserving, anatomy-driven segmentation
This paper presents a new framework for multiple object segmentation in medical images that respects the topological properties and anatomical relationships of structures as given...
Pierre-Louis Bazin, Dzung L. Pham