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» A Bayesian approach for image segmentation with shape priors
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IPMI
2007
Springer
14 years 8 months ago
Liver Segmentation Using Sparse 3D Prior Models with Optimal Data Support
Abstract. Volume segmentation is a relatively slow process and, in certain circumstances, the enormous amount of prior knowledge available is underused. Model-based liver segmentat...
Charles Florin, Nikos Paragios, Gareth Funka-Lea, ...
ISBI
2008
IEEE
14 years 8 months ago
Segmentation of fetal 3D ultrasound based on statistical prior and deformable model
A statistical variational framework is proposed for the fetus and uterus segmentation in ultrasound images. The Rayleigh and exponential distributions are used to model the pixel ...
Jérémie Anquez, Elsa D. Angelini, Is...
EMMCVPR
2007
Springer
14 years 1 months ago
A New Bayesian Method for Range Image Segmentation
: We presented and evaluated a new Bayesian method for range image segmentation. The method proceeds in to stages. First, an initial segmentation was produced by a randomized regio...
Smaine Mazouzi, Mohamed Batouche
MICCAI
2009
Springer
14 years 5 days ago
Bayesian Maximal Paths for Coronary Artery Segmentation from 3D CT Angiograms
We propose a recursive Bayesian model for the delineation of coronary arteries from 3D CT angiograms (cardiac CTA) and discuss the use of discrete minimal path techniques as an eï¬...
David Lesage, Elsa D. Angelini, Isabelle Bloch, Ga...
ECCV
2008
Springer
14 years 9 months ago
Image Segmentation by Branch-and-Mincut
Efficient global optimization techniques such as graph cut exist for energies corresponding to binary image segmentation from lowlevel cues. However, introducing a high-level prior...
Victor S. Lempitsky, Andrew Blake, Carsten Rother