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» Comparison of 3D Segmentation Algorithms for Medical Imaging
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MVA
1992
105views Computer Vision» more  MVA 1992»
13 years 9 months ago
Proposition of a Human Motion Tracking Method by Temporal-Spatial Segmentation in an Image Sequence
In this paper, a ncw approach of a 3D human motion tracking mcthod in rcal time is proposed. The basis of thc nicthod is thc use of two scgrncntations, one temporal and the othcr ...
Frédéric Elsner, Khaled Hacine, Nace...
CCGRID
2003
IEEE
14 years 1 months ago
Using grid technologies to face medical image analysis challenges
The availability of digital imagers inside hospitals and their ever growing inspection capabilities have established digital medical images as a key component of many pathologies ...
Johan Montagnat, Vincent Breton, Isabelle E. Magni...
3DIM
2005
IEEE
14 years 1 months ago
Semi-Automatic Range to Range Registration: A Feature-Based Method
Our goal is the production of highly accurate photorealistic descriptions of the 3D world with a minimum of human interaction and increased computational efficiency. Our input is...
Chen Chao, Ioannis Chao
ICPR
2008
IEEE
14 years 2 months ago
Medical image segmentation via min s-t cuts with sides constraints
Graph cut algorithms (i.e., min s-t cuts) [3][10][15] are useful in many computer vision applications. In this paper we develop a formulation that allows the addition of side cons...
Jiun-Hung Chen, Linda G. Shapiro
CVPR
2000
IEEE
14 years 9 months ago
Codimension - Two Geodesic Active Contours for the Segmentation of Tubular Structures
Curve evolution schemes for segmentation, implemented with level set methods, have become an important approach in computer vision. Previous work has modeled evolving contours whi...
Liana M. Lorigo, W. Eric L. Grimson, Olivier D. Fa...