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MICCAI
2007
Springer
14 years 9 months ago
Active-Contour-Based Image Segmentation Using Machine Learning Techniques
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...
Patrick Etyngier, Florent Ségonne, Renaud K...
CVGIP
2004
175views more  CVGIP 2004»
13 years 8 months ago
A subdivision-based deformable model for surface reconstruction of unknown topology
This paper presents a surface reconstruction algorithm that can recover correct shape geometry as well as its unknown topology from both volumetric images and unorganized point cl...
Ye Duan, Hong Qin
TMI
2011
182views more  TMI 2011»
13 years 3 months ago
Active Volume Models for Medical Image Segmentation
—In this paper, we propose a novel predictive model, active volume model (AVM), for object boundary extraction. It is a dynamic “object” model whose manifestation includes a ...
Tian Shen, Hongsheng Li, Xiaolei Huang
MICCAI
2005
Springer
14 years 9 months ago
Segmentation of Neighboring Organs in Medical Image with Model Competition
Abstract. This paper presents a novel approach for image segmentation by introducing competition between neighboring shape models. Our method is motivated by the observation that e...
Pingkun Yan, Weijia Shen, Ashraf A. Kassim, Mubara...
MICCAI
2008
Springer
14 years 9 months ago
MRI Bone Segmentation Using Deformable Models and Shape Priors
Abstract. This paper addresses the problem of automatically segmenting bone structures in low resolution clinical MRI datasets. The novel aspect of the proposed method is the combi...
Jérôme Schmid, Nadia Magnenat-Thalman...