Uncertainty Quantification using Variational Inference for Biomedical Image Segmentation.
Abhinav SagarPublished in: CoRR (2020)
Keyphrases
- variational inference
- image segmentation
- bayesian inference
- topic models
- gaussian process
- posterior distribution
- variational methods
- latent dirichlet allocation
- probabilistic graphical models
- probabilistic model
- mixture model
- closed form
- exact inference
- multiscale
- level set
- computer vision
- approximate inference
- exponential family
- deformable models
- graphical models
- markov random field
- information extraction
- segmentation algorithm
- graph cuts
- curve evolution
- text mining
- image processing
- hyperparameters
- generative model
- stereo matching
- conditional probabilities
- segmentation method
- energy functional
- probability distribution