A Large-Scale Manifold Learning Approach for Brain Tumor Progression Prediction.
Loc TranDebrup BanerjeeXiaoyan SunJihong WangAshok J. KumarDavid VinningFrederic D. McKenzieYaohang LiJiang LiPublished in: MLMI (2011)
Keyphrases
- manifold learning
- brain tumors
- low dimensional
- dimensionality reduction
- semi supervised
- magnetic resonance images
- dimension reduction
- mr images
- high dimensional
- feature extraction
- nonlinear dimensionality reduction
- high dimensional data
- head pose estimation
- diffusion maps
- manifold structure
- laplacian eigenmaps
- manifold embedding
- magnetic resonance
- sparse representation
- medical images
- locally linear embedding
- active learning
- computer vision
- principal component analysis
- feature vectors
- multiscale
- image segmentation