DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated MR Images.
Michael GötzChristian WeberFranciszek BinczykJoanna PolanskaRafal TarnawskiBarbara Bobek-BillewiczUllrich KötheJens KleesiekBram StieltjesKlaus H. Maier-HeinPublished in: CoRR (2024)
Keyphrases
- domain adaptation
- mr images
- supervised learning
- labeled data
- semi supervised
- semi supervised learning
- unlabeled data
- magnetic resonance
- medical images
- co training
- training data
- magnetic resonance images
- unsupervised learning
- learning algorithm
- target domain
- image data
- active learning
- training examples
- cross domain
- multiple sources
- mr imaging
- intensity inhomogeneity
- sparse representation
- training set
- transfer learning
- brain tumors
- machine learning
- phantom images
- reinforcement learning
- learning tasks
- test data
- class labels
- machine learning algorithms
- sentiment classification
- text categorization
- text classification
- text mining
- information extraction