SS-CADA: A Semi-Supervised Cross-Anatomy Domain Adaptation for Coronary Artery Segmentation.
Jingyang ZhangRan GuGuotai WangHongzhi XieLixu GuPublished in: ISBI (2021)
Keyphrases
- domain adaptation
- semi supervised
- coronary artery
- labeled data
- medical images
- semi supervised learning
- imaging modalities
- unlabeled data
- image slices
- co training
- pairwise
- image segmentation
- unsupervised learning
- supervised learning
- active learning
- multiscale
- three dimensional
- multiple sources
- fully automatic
- multi view
- medical imaging
- magnetic resonance images
- target domain
- image analysis
- cross domain
- transfer learning
- sentiment classification
- label information
- computer aided
- test data
- anatomical structures
- medical image analysis
- deformable models
- training data