A domain adaptation benchmark for T1-weighted brain magnetic resonance image segmentation.
Parisa SaatNikita NogovitsynMuhammad Yusuf HassanMuhammad Athar GanaieRoberto SouzaHadi HemmatiPublished in: Frontiers Neuroinformatics (2022)
Keyphrases
- domain adaptation
- magnetic resonance
- brain images
- image segmentation
- brain image segmentation
- mr images
- medical images
- brain tumors
- skull stripping
- grey matter
- brain tissue
- image registration
- partial volume effects
- image data
- tissue segmentation
- cross domain
- gray matter
- medical imaging
- mr brain images
- multiple sources
- multiple sclerosis
- semi supervised
- labeled data
- magnetic resonance images
- semi supervised learning
- deformable models
- mr imaging
- brain mr images
- target domain
- unlabeled data
- human brain
- deformable registration
- sentiment classification
- transfer learning
- image analysis
- brain structures
- document classification
- graph cuts
- co training
- computer vision
- three dimensional
- image processing
- magnetic resonance imaging
- test data
- machine learning algorithms
- segmentation algorithm
- high resolution
- cerebrospinal fluid
- image volumes
- pairwise
- training data