Variational inference for medical image segmentation.
Claudia BlaiottaManuel Jorge CardosoJohn AshburnerPublished in: Comput. Vis. Image Underst. (2016)
Keyphrases
- medical image segmentation
- variational inference
- variational methods
- curve evolution
- bayesian inference
- medical images
- gaussian process
- topic models
- probabilistic graphical models
- mixture model
- latent dirichlet allocation
- probabilistic model
- posterior distribution
- level set
- closed form
- medical image analysis
- exponential family
- level set method
- active contours
- medical imaging
- graphical models
- statistical shape model
- object boundaries
- partial differential equations
- approximate inference
- probability distribution
- bayesian framework
- shape prior
- energy minimization
- latent variables
- computer vision
- belief propagation
- image enhancement
- generative model
- em algorithm
- image analysis
- image segmentation