Explanation and Use of Uncertainty Quantified by Bayesian Neural Network Classifiers for Breast Histopathology Images.
Ponkrshnan ThiagarajanPushkar KhairnarSusanta GhoshPublished in: IEEE Trans. Medical Imaging (2022)
Keyphrases
- histopathology images
- decision theory
- dempster shafer
- bayesian networks
- bayesian learning
- explanation based learning
- decision making
- belief functions
- data sets
- bayesian estimation
- conditional probabilities
- artificial intelligence
- maximum likelihood
- real time
- breast cancer detection
- inherent uncertainty
- probability theory
- expected utility
- data driven
- posterior probability
- decision theoretic
- machine learning
- uncertain information
- neural network
- mammographic images
- incomplete information
- provide additional information
- posterior distribution