Quantitative Comparison of Monte-Carlo Dropout Uncertainty Measures for Multi-class Segmentation.
Robin CamarasaDaniel BosJeroen HendriksePaul H. J. NederkoornM. Eline KooiAad van der LugtMarleen de BruijnePublished in: UNSURE/GRAIL@MICCAI (2020)
Keyphrases
- monte carlo
- multi class
- monte carlo simulation
- binary classification
- image segmentation
- multiple classes
- multi class classification
- markov chain
- pairwise
- confusion matrices
- support vector machine
- object detection
- cost sensitive
- feature selection
- monte carlo tree search
- particle filter
- multi class problems
- variance reduction
- error correcting output codes
- data mining
- multi class boosting
- game tree
- multi task
- active learning
- training set
- learning algorithm