Segmentation of Left Atrial MR Images via Self-supervised Semi-supervised Meta-learning.
Dani KiyassehAlbert SwistonRonghua ChenAntong ChenPublished in: MICCAI (2) (2021)
Keyphrases
- mr images
- meta learning
- accurate segmentation
- medical images
- semi supervised
- brain mr images
- magnetic resonance
- partial volume
- brain tumors
- intensity inhomogeneity
- mr brain
- inductive learning
- brain structures
- magnetic resonance images
- learning tasks
- dice similarity coefficient
- bias field
- mr imaging
- cardiac magnetic resonance
- mri data
- manual segmentation
- contrast enhanced
- brain tissue
- model selection
- machine learning algorithms
- tissue segmentation
- image data
- decision trees
- nonrigid registration
- semi supervised learning
- inter patient
- model based segmentation
- supervised learning
- machine learning
- medical imaging
- labeled data
- feature selection
- segmentation algorithm
- unlabeled data
- level set
- active learning
- pre operative
- carotid artery
- metamodel
- transfer learning
- image registration
- base classifiers
- segmentation method
- pairwise
- feature space
- image processing