Perception-Based Visualization of Manifold-Valued Medical Images Using Distance-Preserving Dimensionality Reduction.
Ghassan HamarnehChris McIntoshMark S. DrewPublished in: IEEE Trans. Medical Imaging (2011)
Keyphrases
- medical images
- distance preserving
- dimensionality reduction
- random projections
- low dimensional
- high dimensional data
- high dimensional
- anatomical structures
- medical imaging
- deformable models
- principal component analysis
- mr images
- medical image analysis
- data points
- original data
- high dimensionality
- data analysis
- pattern recognition
- manifold learning
- magnetic resonance imaging
- feature extraction
- dimension reduction
- linear discriminant analysis
- euclidean distance
- magnetic resonance images
- feature space
- principal components
- euclidean space
- vector space
- similarity search
- image segmentation
- manifold valued
- metric learning
- sparse representation
- face recognition