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Efficient Ensemble Model Generation for Uncertainty Estimation with Bayesian Approximation in Segmentation.
Hong Joo Lee
Seong Tae Kim
Hakmin Lee
Nassir Navab
Yong Man Ro
Published in:
CoRR (2020)
Keyphrases
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neural network
bayesian estimation
decision theory
error bounds
segmentation method
image segmentation
uncertain data
level set
segmentation algorithm
maximum likelihood
bayesian networks
parameter estimation
medical imaging
ensemble methods
ensemble learning
training data
monte carlo sampling