We Know Where We Don't Know: 3D Bayesian CNNs for Uncertainty Quantification of Binary Segmentations for Material Simulations.
Tyler LaBonteCarianne MartinezScott A. RobertsPublished in: CoRR (2019)
Keyphrases
- decision theory
- dempster shafer
- cellular neural networks
- uncertain data
- image segmentation
- ground truth
- data driven
- bayesian networks
- numerical simulations
- medical images
- bayesian inference
- probability theory
- bayesian learning
- bayesian analysis
- simulation model
- belief functions
- quantitative evaluation
- inherent uncertainty
- machine learning
- maximum likelihood
- object segmentation
- posterior probability
- incomplete information
- hamming distance
- utility function
- multi class
- possibility theory
- robust optimization
- multiscale
- image processing
- decision making
- computer vision