Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation.
Mohsen GhafoorianAlireza MehrtashTina KapurNico KarssemeijerElena MarchioriMehran PesteieCharles R. G. GuttmannFrank-Erik de LeeuwClare M. TempanyBram van GinnekenAndriy FedorovPurang AbolmaesumiBram PlatelWilliam M. Wells IIIPublished in: CoRR (2017)
Keyphrases
- domain adaptation
- transfer learning
- target domain
- cross domain
- labeled data
- manifold alignment
- transfer knowledge
- learning tasks
- semi supervised learning
- source domain
- machine learning
- knowledge transfer
- multiple sclerosis
- active learning
- document classification
- mr images
- collaborative filtering
- text classification
- magnetic resonance imaging
- reinforcement learning
- brain tissue
- text categorization
- machine learning algorithms
- semi supervised
- multiple sources
- sentiment classification
- lesion segmentation
- magnetic resonance images
- test data
- learning algorithm
- unlabeled data
- medical images
- knowledge discovery
- training data
- feature selection