193 search results - page 2 / 39 » Segmentation of Medical Images Using Three-Dimensional Activ... |
MICCAI
2007
Springer
14 years 6 months ago
2007
Springer
Abstract. We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a c...
EMMCVPR
2003
Springer
13 years 10 months ago
2003
Springer
Abstract. In this paper we propose a new variational framework for image segmentation that incorporates the information of expected shape and a few points on the boundary into geod...
MICCAI
2004
Springer
14 years 6 months ago
2004
Springer
Extraction of structures of interest in medical images is often an arduous task because of noisy or incomplete data. However, handsegmented data are often available and most of the...
MICCAI
2009
Springer
14 years 6 months ago
2009
Springer
Probabilistic models are extensively used in medical image segmentation. Most of them employ parametric representations of densities and make idealizing assumptions, e.g. normal di...
ISBI
2011
IEEE
12 years 9 months ago
2011
IEEE
Object boundary extraction is an important task in brain image analysis. Acquiring detailed 3D representations of the brain structures could improve the detection rate of diseases...