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: MICCAI (3) (2017)
Keyphrases
- domain adaptation
- transfer learning
- target domain
- cross domain
- labeled data
- manifold alignment
- transfer knowledge
- source domain
- reinforcement learning
- learning tasks
- knowledge transfer
- lesion segmentation
- multiple sclerosis
- semi supervised learning
- active learning
- multiple sources
- machine learning
- text classification
- unlabeled data
- magnetic resonance images
- mr images
- machine learning algorithms
- magnetic resonance imaging
- semi supervised
- brain tissue
- decision trees
- text categorization
- medical images
- human brain
- test data
- text mining
- sentiment classification
- high resolution
- training data
- learning algorithm
- data sets