One-Step Robust Low-Rank Subspace Segmentation for Tumor Sample Clustering.
Jian LiuYuhu ChengXuesong WangShu-Guang GePublished in: Comput. Intell. Neurosci. (2021)
Keyphrases
- low rank subspace
- low rank
- tumor segmentation
- foreground detection
- brain tumors
- clustering algorithm
- k means
- level set
- image segmentation
- segmentation algorithm
- high dimensional data
- data points
- region growing
- shape prior
- robust principal component analysis
- high dimensional
- low dimensional
- post processing
- mr images
- active learning
- background modeling
- pairwise
- data analysis