Generalizing Deep Whole Brain Segmentation for Pediatric and Post-Contrast MRI with Augmented Transfer Learning.
Camilo BermudezJustin A. BlaberSamuel W. RemediosJess E. ReynoldsCatherine LebelMaureen McHugoStephan HeckersYuankai HuoBennett A. LandmanPublished in: CoRR (2019)
Keyphrases
- transfer learning
- brain tumor segmentation
- brain scans
- medical images
- brain structures
- knowledge transfer
- magnetic resonance images
- reinforcement learning
- learning tasks
- brain tumors
- cross domain
- labeled data
- magnetic resonance imaging
- active learning
- medical imaging
- image segmentation
- machine learning
- domain adaptation
- learning algorithm
- multi task
- manifold alignment
- machine learning algorithms
- text categorization
- cross domain learning
- semi supervised learning
- multi task learning
- training data
- transferring knowledge
- transfer knowledge
- carotid artery
- text classification
- unlabeled data
- pairwise
- high resolution
- supervised learning
- collaborative filtering
- graphical models
- feature extraction