Automatic inference of articulated spine models in CT images using high-order Markov Random Fields.
Samuel KadouryHubert LabelleNikos ParagiosPublished in: Medical Image Anal. (2011)
Keyphrases
- high order
- markov random field
- ct images
- random fields
- higher order
- parameter estimation
- potential functions
- efficient inference
- pairwise
- mrf model
- bayesian logistic regression
- computed tomography
- medical imaging
- energy minimization
- medical images
- graph cuts
- loopy belief propagation
- ct scans
- map inference
- image segmentation
- probabilistic model
- partition function
- undirected graphical models
- energy function
- image denoising
- belief propagation
- x ray
- efficient inference algorithms
- region of interest
- factor graphs
- maximum entropy
- conditional random fields
- model selection
- multiscale
- face recognition