3D segmentation of abdominal CT imagery with graphical models, conditional random fields and learning.
Chetan BholeChristopher J. PalDavid RimAxel WismüllerPublished in: Mach. Vis. Appl. (2014)
Keyphrases
- graphical models
- conditional random fields
- undirected graphical models
- structured prediction
- belief propagation
- markov networks
- approximate inference
- probabilistic model
- image labeling
- parameter learning
- crf model
- probabilistic inference
- probabilistic graphical models
- random variables
- exact inference
- max margin
- maximum entropy
- relational dependency networks
- segmentation method
- markov logic networks
- higher order
- structure learning
- bayesian networks
- belief networks
- loopy belief propagation
- generative model
- hidden markov models
- semantic segmentation
- random fields
- markov models
- conditional independence
- information extraction
- prior knowledge
- pairwise
- learning algorithm
- superpixels
- machine learning
- energy function