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» A probabilistic framework for image segmentation
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ISBI
2006
IEEE
14 years 8 months ago
A statistical framework for DTI segmentation
We address the problem of the segmentation of cerebral white matter structures from diffusion tensor images (DTI). DTI can be estimated from a set of diffusion weighted images and...
Christophe Lenglet, Mikaël Rousson, Rachid De...
ICIP
2010
IEEE
13 years 5 months ago
3D vertebrae segmentation using graph cuts with shape prior constraints
Osteoporosis is a bone disease characterized by a reduction in bone mass, resulting in an increased risk of fractures. To diagnose the osteoporosis accurately, bone mineral densit...
Melih S. Aslan, Asem M. Ali, Dongqing Chen, Ben Ar...
BIOCOMP
2008
13 years 9 months ago
Improved Segmentation Based on Probabilistic Labeling
⎯This paper presents an improved multi-object segmentation algorithm based on probabilistic labeling. First, a critical look is focused on utilizing vector calculus operator and ...
Kai-Chieh Yang, Ming-Chi Jhuang, Chun-Shun Tseng, ...
TIP
2010
167views more  TIP 2010»
13 years 2 months ago
A Bayesian Framework for Image Segmentation With Spatially Varying Mixtures
Abstract--A new Bayesian model is proposed for image segmentation based upon Gaussian mixture models (GMM) with spatial smoothness constraints. This model exploits the Dirichlet co...
Christophoros Nikou, Aristidis Likas, Nikolas P. G...
BMVC
1997
13 years 9 months ago
Multi-Level Probabilistic Relaxation
We present a multi-level probabilistic relaxation scheme appropriate for image segmentation on the basis of features computed at various resolution levels. At each level, we incor...
Maria Petrou, Majid Mirmehdi, M. Coors