3D interactive coronary artery segmentation using random forests and Markov random field optimization.
Jingjing DengXianghua XieRob AlcockCarl RoobottomPublished in: ICIP (2014)
Keyphrases
- markov random field
- random forests
- mrf model
- image segmentation
- energy function
- coronary artery
- label field
- mrf models
- graph cuts
- random forest
- mrf optimization
- prior model
- decision trees
- higher order
- ensemble methods
- segmentation algorithm
- maximum a posteriori
- random fields
- logistic regression
- machine learning algorithms
- pairwise
- image restoration and reconstruction
- conditional random fields
- gibbs energy
- potential functions
- medical images
- level set
- image parsing
- multiscale
- text classification
- image processing
- feature extraction
- classification accuracy
- imaging modalities
- semi supervised
- object detection
- x ray
- active contours
- prediction accuracy
- benchmark datasets
- computer aided
- shape model
- medical imaging
- loss function