Semi Supervised Multi Kernel (SeSMiK) Graph Embedding: Identifying Aggressive Prostate Cancer via Magnetic Resonance Imaging and Spectroscopy.
Pallavi TiwariJohn KurhanewiczMark RosenAnant MadabhushiPublished in: MICCAI (3) (2010)
Keyphrases
- graph embedding
- multi kernel
- magnetic resonance imaging
- semi supervised
- prostate cancer
- medical images
- mr images
- medical image analysis
- mri data
- medical imaging
- magnetic resonance images
- x ray
- semi supervised learning
- image guided
- labeled data
- pairwise
- unlabeled data
- active learning
- computer aided
- multi view
- unsupervised learning
- supervised learning
- pairwise constraints
- low dimensional
- manifold learning
- subspace learning
- dimensionality reduction
- labeled examples
- imaging modalities
- image processing
- anatomical structures
- data representation
- discriminant analysis
- dictionary learning
- image data
- remote sensing