Domain Adaptation for Medical Image Segmentation Using Transformation-Invariant Self-training.
Negin GhamsarianJavier Gamazo TejeroPablo Márquez-NeilaSebastian WolfMartin ZinkernagelKlaus SchoeffmannRaphael SznitmanPublished in: MICCAI (1) (2023)
Keyphrases
- domain adaptation
- medical image segmentation
- co training
- semi supervised learning
- medical images
- semi supervised
- labeled data
- curve evolution
- unlabeled data
- multiple sources
- cross domain
- statistical shape model
- level set method
- single view
- image segmentation
- multi view
- machine learning
- target domain
- medical imaging
- transfer learning
- training data
- medical image analysis
- active learning
- supervised learning
- text classification
- unsupervised learning
- document classification
- text categorization
- training set
- test data
- three dimensional
- level set
- training examples
- pairwise
- sentiment classification
- reinforcement learning
- deformable models