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» using Prior Shape and Points in Medical Image Segmentation
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MICCAI
2008
Springer
15 years 4 days ago
MR Brain Tissue Classification Using an Edge-Preserving Spatially Variant Bayesian Mixture Model
In this paper, a spatially constrained mixture model for the segmentation of MR brain images is presented. The novelty of this work is a new, edge preserving, smoothness prior whic...
Giorgos Sfikas, Christophoros Nikou, Nikolas P. ...
ICPR
2002
IEEE
15 years 1 days ago
Fast Extraction of Tubular and Tree 3D Surfaces with Front Propagation Methods
We present a new fast approach for surface segmentation of thin structures, like vessels and vascular trees, based on Fast Marching and Level Sets methods. Fast Marching allows se...
Thomas Deschamps, Laurent D. Cohen
MICCAI
2010
Springer
13 years 8 months ago
Robust Atlas-Based Segmentation of Highly Variable Anatomy: Left Atrium Segmentation
Automatic segmentation of the heart's left atrium offers great benefits for planning and outcome evaluation of atrial ablation procedures. However, the high anatomical variabi...
Michal Depa, Mert R. Sabuncu, Godtfred Holmvang, R...
MICCAI
2005
Springer
14 years 12 months ago
Shape-Based Averaging for Combination of Multiple Segmentations
Combination of multiple segmentations has recently been introduced as an effective method to obtain segmentations that are more accurate than any of the individual input segmentati...
Torsten Rohlfing, Calvin R. Maurer Jr.
TITB
2002
172views more  TITB 2002»
13 years 10 months ago
Shape recovery algorithms using level sets in 2-D/3-D medical imagery: a state-of-the-art review
The class of geometric deformable models, also known as level sets, has brought tremendous impact to medical imagery due to its capability of topology preservation and fast shape r...
Jasjit S. Suri, Kecheng Liu, Sameer Singh, Swamy L...