Consensus-Locally Linear Embedding (C-LLE): Application to Prostate Cancer Detection on Magnetic Resonance Spectroscopy.
Pallavi TiwariMark RosenAnant MadabhushiPublished in: MICCAI (2) (2008)
Keyphrases
- locally linear embedding
- prostate cancer
- cancer detection
- dimensionality reduction
- nonlinear dimensionality reduction
- manifold learning
- magnetic resonance spectroscopy
- high dimensional
- low dimensional
- high dimensional data
- laplacian eigenmaps
- principal components analysis
- pattern recognition
- dimensional data
- dimensionality reduction methods
- principal component analysis
- multi dimensional
- image registration
- semi supervised
- data points
- manifold learning algorithm
- orthogonal projection
- feature extraction