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: Medical Imaging: Image Processing (2020)
Keyphrases
- transfer learning
- brain tumor segmentation
- brain scans
- medical images
- brain structures
- knowledge transfer
- magnetic resonance images
- learning tasks
- labeled data
- brain tumors
- cross domain
- active learning
- machine learning
- semi supervised learning
- collaborative filtering
- carotid artery
- reinforcement learning
- image segmentation
- multi task
- machine learning algorithms
- manifold alignment
- transfer knowledge
- text mining
- magnetic resonance imaging
- cross domain learning
- domain adaptation
- text categorization
- medical imaging
- learning algorithm
- neural network
- bayesian networks
- multi task learning
- target domain
- knowledge discovery
- semi supervised
- unlabeled data