SS-CADA: A Semi-Supervised Cross-Anatomy Domain Adaptation for Coronary Artery Segmentation.
Jingyang ZhangRan GuGuotai WangHongzhi XieLixu GuPublished in: CoRR (2021)
Keyphrases
- domain adaptation
- semi supervised
- coronary artery
- labeled data
- medical images
- semi supervised learning
- imaging modalities
- image slices
- unlabeled data
- co training
- pairwise
- medical imaging
- unsupervised learning
- active learning
- image segmentation
- supervised learning
- cross domain
- multi view
- three dimensional
- target domain
- multiscale
- fully automatic
- transfer learning
- label information
- low contrast
- sentiment classification
- image guided
- text categorization