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