O2M-UDA: Unsupervised dynamic domain adaptation for one-to-multiple medical image segmentation.
Ziyue JiangYuting HeShuai YePengfei ShaoXiaomei ZhuYi XuYang ChenJean-Louis CoatrieuxShuo LiGuanyu YangPublished in: Knowl. Based Syst. (2023)
Keyphrases
- domain adaptation
- medical image segmentation
- multiple sources
- medical images
- semi supervised
- labeled data
- supervised learning
- cross domain
- unsupervised learning
- semi supervised learning
- data sets
- medical image analysis
- sentiment classification
- training data
- curve evolution
- domain specific
- level set method
- feature selection