Adaptive Semi-Supervised Segmentation of Brain Vessels with Ambiguous Labels.
Fengming LinYan XiaNishant RavikumarQiongyao LiuMichael MacRaildAlejandro F. FrangiPublished in: CoRR (2023)
Keyphrases
- semi supervised
- fully supervised
- vessel segmentation
- pairwise constraints
- caudate nucleus
- label propagation
- image labeling
- segmentation algorithm
- tubular structures
- image segmentation
- pairwise
- level set
- brain tumors
- medical images
- segmented images
- brain mr images
- unlabeled samples
- brain structures
- partially labeled
- active learning
- tissue segmentation
- fully automatic
- carotid artery
- semi supervised clustering
- probabilistic atlas
- computed tomography angiography
- brain images
- labeled examples
- blood vessels
- human brain
- region growing
- segmentation method
- unlabeled data
- training examples
- learning algorithm
- training data
- multiscale
- brain atlas
- multi view
- labeled data
- semi supervised learning
- brain mri
- brain tissue
- label information
- class labels
- labeling problems
- multi label
- semantic segmentation
- edge detection
- training set
- magnetic resonance images
- deformation field