Incorporating Boundary Uncertainty into loss functions for biomedical image segmentation.
Michael YeungGuang YangEvis SalaCarola-Bibiane SchönliebLeonardo RundoPublished in: CoRR (2021)
Keyphrases
- loss function
- image segmentation
- pairwise
- logistic regression
- squared error
- support vector
- loss minimization
- graph cuts
- risk minimization
- markov random field
- hinge loss
- convex loss functions
- boosting algorithms
- learning to rank
- image processing
- text mining
- segmentation algorithm
- expectation maximization
- level set
- reproducing kernel hilbert space
- segmented regions
- information extraction
- learning algorithm
- active contours
- semi supervised
- update rules
- support vector machine
- square loss