Improving Pathological Distribution Measurements with Bayesian Uncertainty.
Ka Ho TamKorsuk SirinukunwattanaMaria F. SoaresMaria KaisarRutger PloegJens RittscherPublished in: UNSURE/GRAIL@MICCAI (2020)
Keyphrases
- measurement noise
- decision theory
- measurement errors
- dempster shafer
- prior distribution
- bayesian networks
- measurement error
- spatial distribution
- confidence intervals
- inherent uncertainty
- artificial intelligence
- bayesian methods
- gaussian distribution
- probability distribution
- posterior distribution
- posterior probability
- gaussian processes
- conditional probabilities
- probability density function
- incomplete information
- bayesian learning
- bayesian estimation
- data distribution
- random variables
- maximum likelihood
- hidden markov models
- prior knowledge