Minimizing Estimated Risks on Unlabeled Data: A New Formulation for Semi-Supervised Medical Image Segmentation.
Fuping WuXiahai ZhuangPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2023)
Keyphrases
- medical image segmentation
- unlabeled data
- semi supervised
- labeled data
- semi supervised learning
- medical images
- co training
- supervised learning
- active learning
- labeled and unlabeled data
- labeled examples
- curve evolution
- pairwise
- semi supervised learning algorithms
- unsupervised learning
- medical image analysis
- statistical shape model
- semi supervised classification
- label propagation
- class labels
- pairwise constraints
- training data
- labeled training data
- small set of labeled
- semi supervised learning methods
- level set method
- label information
- medical imaging
- training examples
- multi view
- semi supervised clustering
- supervised and semi supervised
- manifold regularization
- metric learning
- text classification
- training set
- data sets
- transductive learning
- data points
- image segmentation
- learning algorithm
- decision boundary
- deformable models
- active contours
- unlabeled samples
- image registration