Uncertainty-Driven Efficiently-Sampled Sparse Graphical Models for Concurrent Tumor Segmentation and Atlas Registration.
Sarah ParisotWilliam M. Wells IIIStéphane ChemounyHugues DuffauNikos ParagiosPublished in: ICCV (2013)
Keyphrases
- graphical models
- tumor segmentation
- gaussian graphical models
- belief propagation
- probabilistic model
- image registration
- brain mr images
- probabilistic graphical models
- random variables
- probabilistic inference
- bayesian networks
- approximate inference
- conditional random fields
- markov networks
- mr images
- directed acyclic
- map inference
- factor graphs
- brain tumors
- deformation field
- high dimensional
- medical image analysis
- conditional independence
- conditional probabilities
- mutual information
- probability theory
- belief functions
- quantitative evaluation
- active contours
- medical images