Uncertainty Quantification using Variational Inference for Biomedical Image Segmentation.
Abhinav SagarPublished in: WACV (Workshops) (2022)
Keyphrases
- variational inference
- image segmentation
- bayesian inference
- topic models
- probabilistic graphical models
- gaussian process
- posterior distribution
- probabilistic model
- latent dirichlet allocation
- variational methods
- mixture model
- exponential family
- information extraction
- text mining
- exact inference
- closed form
- image processing
- markov random field
- graphical models
- generative model
- graph cuts
- computer vision
- expectation maximization
- active contours
- level set
- factor graphs
- level set method
- belief functions
- latent variables
- optic flow
- prior information
- maximum a posteriori
- higher order
- multiscale
- unsupervised learning
- deformable models