Automatic differential segmentation of the prostate in 3-D MRI using Random Forest classification and graph-cuts optimization.
Emmanouil MoschidisJim GrahamPublished in: ISBI (2012)
Keyphrases
- graph cuts
- random forest
- multi label
- shape prior
- segmentation algorithm
- energy function
- object segmentation
- decision trees
- image segmentation
- interactive segmentation
- feature set
- spatial coherence
- random walker
- interactive image segmentation
- energy minimization
- graph based image segmentation
- active shape model
- random forests
- markov random field
- graph cut segmentation
- automatic segmentation
- energy minimization framework
- fully automatic
- decision tree learning algorithms
- classification accuracy
- image classification
- class labels
- level set
- feature vectors
- text classification
- min cut
- ensemble classifier
- mean shift
- segmentation method
- feature extraction
- accurate segmentation
- supervised learning
- ensemble methods
- feature selection
- graph cut optimization
- benchmark datasets
- bayesian networks
- labeling problems
- support vector machine
- image processing
- energy minimization problems
- support vector
- prior knowledge
- image features
- naive bayes
- machine learning
- shape model
- cost sensitive