MRI Confirmed Prostate Tissue Classification with Laplacian Eigenmaps of Ultrasound RF Spectra.
Mehdi MoradiChristian WachingerAndriy FedorovWilliam M. Wells IIITina KapurLuciant D. WolfsbergerPaul NguyenClare M. TempanyPublished in: MLMI (2012)
Keyphrases
- tissue classification
- laplacian eigenmaps
- prostate biopsy
- manifold learning
- ultrasound images
- image guided
- kernel pca
- magnetic resonance
- radio frequency
- nonlinear dimensionality reduction
- prostate cancer
- carotid artery
- principal component analysis
- dimensionality reduction
- low dimensional
- graph laplacian
- locally linear embedding
- dynamic time warping
- mr images
- euclidean space
- intraoperative
- dimensionality reduction methods
- kernel methods
- empirical mode decomposition
- medical imaging
- feature extraction
- high dimensional data
- medical images
- semi supervised
- image data
- feature space
- prostate brachytherapy
- pattern recognition