28 search results - page 2 / 6 » Locally Adaptive Autoregressive Active Models for Segmentati... |
MICCAI
2004
Springer
14 years 5 months ago
2004
Springer
Abstract. A new 3D segmentation method based on the level set technique is proposed. The main contribution is a robust evolutionary model which requires no fine tuning of parameter...
MICCAI
2000
Springer
13 years 8 months ago
2000
Springer
This paper presents a deformable model for automatically segmenting objects from volumetric MR images and obtaining point correspondences, using geometric and statistical informati...
TMI
2008
13 years 4 months ago
2008
In this paper, a hybrid discriminative/generative model for brain anatomical structure segmentation is proposed. The learning aspect of the approach is emphasized. In the discrimin...
MICCAI
2009
Springer
14 years 6 months ago
2009
Springer
In this paper, we propose Multiple-Surface Active Volume Models (MSAVM) to extract 3D objects from volumetric medical images. Being able to incorporate spatial constraints among mu...
MICCAI
2001
Springer
13 years 9 months ago
2001
Springer
Abstract. In this paper we introduce the concept of statistical deformation models (SDM) which allow the construction of average models of the anatomy and their variability. SDMs a...