Enhanced Graph Cuts for Brain Tumor Segmentation Using Bayesian Optimization.
Mauricio CastañoHernán F. GarcíaGloria L. Porras-HurtadoÁlvaro Á. OrozcoJorge I. Marin-HurtadoPublished in: CIARP (2018)
Keyphrases
- graph cuts
- energy minimization
- energy function
- markov random field
- brain tumor segmentation
- mrf optimization
- belief propagation
- image segmentation
- globally optimal
- object segmentation
- multi label
- interactive image segmentation
- shape prior
- segmentation algorithm
- graph cut optimization
- spatial coherence
- energy minimization framework
- random walker
- energy minimization problems
- global optimization
- loopy belief propagation
- graph cut segmentation
- interactive segmentation
- minimum cut
- magnetic resonance images
- bayesian networks
- labeling problems
- auxiliary variables
- machine learning
- graph based image segmentation
- optimization methods
- deformable models
- parameter estimation
- maximum likelihood
- higher order
- image analysis
- image sequences