Manifold Learning for Density Segmentation in High Risk Mammograms.
Harry StrangeErika R. E. DentonMinnie KibiroReyer ZwiggelaarPublished in: IbPRIA (2013)
Keyphrases
- manifold learning
- high risk
- low dimensional
- dimensionality reduction
- high dimensional
- dimension reduction
- nonlinear dimensionality reduction
- risk factors
- pectoral muscle
- semi supervised
- high dimensional data
- image segmentation
- feature extraction
- prostate cancer
- medical images
- manifold structure
- image analysis
- shape prior
- feature space
- multiscale
- feature selection
- sparse representation
- neural network
- training set
- preprocessing