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: IEEE Trans. Medical Imaging (2023)
Keyphrases
- domain adaptation
- medical image segmentation
- multiple sources
- target domain
- medical images
- cross domain
- labeled data
- transfer learning
- statistical shape model
- curve evolution
- medical image analysis
- training data
- image segmentation
- test data
- multi label
- unlabeled data
- level set method
- semi supervised
- class labels
- medical imaging
- semi supervised learning
- image analysis
- document classification
- domain specific
- supervised learning
- three dimensional
- data sets