UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation.
Jianghao WuGuotai WangRan GuTao LuYinan ChenWentao ZhuTom VercauterenSébastien OurselinShaoting ZhangPublished in: CoRR (2023)
Keyphrases
- domain adaptation
- medical image segmentation
- multiple sources
- target domain
- medical images
- curve evolution
- cross domain
- transfer learning
- labeled data
- semi supervised
- medical image analysis
- statistical shape model
- level set method
- class labels
- multi label
- sentiment classification
- training data
- training samples
- image segmentation
- medical imaging
- semi supervised learning
- level set
- co training
- deformable models
- partial differential equations
- computer vision
- domain specific
- image processing
- energy minimization
- active contours
- unlabeled data
- supervised learning