SSL2: self-supervised learning meets semi-supervised learning: multiple sclerosis segmentation in 7T-MRI from large-scale 3T-MRI.
Jiacheng WangHao LiHan LiuDewei HuDaiwei LuKeejin YoonKelsey BarterFrancesca BagnatoIpek OguzPublished in: Medical Imaging: Image Processing (2023)
Keyphrases
- semi supervised learning
- brain mri
- supervised learning
- multiple sclerosis
- unsupervised learning
- medical images
- semi supervised
- labeled and unlabeled data
- magnetic resonance images
- co training
- unlabeled data
- labeled data
- active learning
- mr images
- learning process
- learning algorithm
- magnetic resonance imaging
- domain adaptation
- machine learning
- white matter
- label propagation
- medical imaging
- magnetic resonance
- lesion segmentation
- graph based semi supervised learning
- prior knowledge
- semi supervised learning setting
- training data
- segmentation algorithm
- image segmentation
- kernel machines
- brain structures
- corpus callosum
- data sets
- class labels
- segmentation method
- region growing