SEAS-Net: Segment Exchange Augmentation for Semi-supervised Brain Tumor Segmentation.
Jing ZhangWei WuPublished in: MMM (2) (2024)
Keyphrases
- semi supervised
- brain tumor segmentation
- semi supervised learning
- magnetic resonance images
- unlabeled data
- labeled data
- semi supervised classification
- multi view
- unsupervised learning
- pairwise
- co training
- active learning
- supervised learning
- subspace learning
- computer vision
- share information
- information systems
- decision trees
- labeled examples
- pattern recognition
- weakly supervised
- labeled and unlabeled data
- brain tumors
- data sets
- medical images
- semi supervised clustering
- high resolution