109 search results - page 12 / 22 » A New Convex Variational Model for Liver Segmentation |
106
click to vote
ECCV
2006
Springer
16 years 3 months ago
2006
Springer
Abstract. Foreground and background segmentation is a typical problem in computer vision and medical imaging. In this paper, we propose a new learning based approach for 3D segment...
115
click to vote
IPMI
2001
Springer
16 years 2 months ago
2001
Springer
Abstract. This paper presents a new and integrated approach to automatic 3D brain vessel segmentation using physics-based statistical models of background and vascular signals, and...
137
click to vote
VTS
2000
IEEE
15 years 6 months ago
2000
IEEE
The performance of deep sub-micron designs can be affected by various parametric variations, manufacturing defects, noise or even modeling errors that are all statistical in natur...
123
click to vote
CVPR
2004
IEEE
16 years 4 months ago
2004
IEEE
This paper proposes a new framework for image segmentation based on the integration of MRFs and deformable models using graphical models. We first construct a graphical model to r...
128
Voted
EMMCVPR
2005
Springer
15 years 7 months ago
2005
Springer
This paper is devoted to piecewise-constant segmentation of images using a curve evolution approach in a variational formulation. The problem to be solved is also called the minima...