Transductive Image Segmentation: Self-training and Effect of Uncertainty Estimation.
Konstantinos KamnitsasStefan WinzeckEvgenios N. KornaropoulosDaniel WhitehouseCameron EnglmanPoe PhyuNorman PaoDavid K. MenonDaniel RueckertTilak DasVirginia F. J. NewcombeBen GlockerPublished in: DART/FAIR@MICCAI (2021)
Keyphrases
- image segmentation
- semi supervised learning
- semi supervised
- markov random field
- multiscale
- semi supervised classification
- unlabeled data
- co training
- graph cuts
- active contours
- energy function
- segmentation algorithm
- region growing
- shape prior
- estimation algorithm
- accurate estimation
- transductive learning
- unsupervised image segmentation
- markov random field prior
- parameter estimation
- labeled data
- text classification
- ground truth
- training set
- computer vision
- segmentation method
- deformable models
- machine learning
- fuzzy c means
- boundary detection
- probabilistic model
- robust optimization
- bayesian networks
- method for image segmentation
- learning algorithm