A hierarchical spectral clustering and nonlinear dimensionality reduction scheme for detection of prostate cancer from magnetic resonance spectroscopy (MRS).
about
Multimodal wavelet embedding representation for data combination (MaWERiC): integrating magnetic resonance imaging and spectroscopy for prostate cancer detection.High-throughput detection of prostate cancer in histological sections using probabilistic pairwise Markov models.Automated computer-derived prostate volumes from MR imaging data: comparison with radiologist-derived MR imaging and pathologic specimen volumes.Elastic registration of multimodal prostate MRI and histology via multiattribute combined mutual information.Textural kinetics: a novel dynamic contrast-enhanced (DCE)-MRI feature for breast lesion classification.Comparative analysis of nonlinear dimensionality reduction techniques for breast MRI segmentation.A magnetic resonance spectroscopy driven initialization scheme for active shape model based prostate segmentation.Multi-kernel graph embedding for detection, Gleason grading of prostate cancer via MRI/MRSA decade in prostate cancer: from NMR to metabolomics.Mapping of prostate cancer by 1H MRSI.Radiology and Enterprise Medical Imaging Extensions (REMIX).Computer-aided Detection of Prostate Cancer with MRI: Technology and Applications.Metabolomic imaging for human prostate cancer detection.Computer-aided analysis of prostate multiparametric MR images: an unsupervised fusion-based approach.Automatic assessment of regional and global wall motion abnormalities in echocardiography images by nonlinear dimensionality reduction.
P2860
Q34035596-DAC36725-4A11-4667-AC89-0BDA81A2632CQ34047679-3466BA11-A847-48D8-A2C1-41A67B52AA03Q34108380-D8B82E98-C381-42CC-A949-31482B691ADFQ34188491-2658FACE-299E-4177-A128-FCB30CC50265Q34970999-AA1349EE-D769-41EC-8B08-3F74F63EC0BFQ35915557-8A3DB882-0665-4449-BE6B-3E2866903FAEQ36999111-B1BCADDE-A7CE-42FB-9EE1-6E3BE606CDBEQ37003074-A0460E1C-4DEE-49FE-834E-7C64C0370201Q37876681-E4FA4E76-10B5-46E1-AA40-2C2022556D67Q38114017-74F40E75-3F77-4408-B932-2C3986465839Q38608781-A4DDF9A7-2399-47C9-92C8-F04E02D44715Q38822172-CC1A0A67-225B-4BCE-8A39-70FB385DFFDAQ40125441-5C498E65-04E7-464F-AD34-A9A14FD403BDQ41553361-336C516D-025F-4436-A946-4B5348998508Q51223469-94D37CBD-2D6F-4463-A28F-63C55971EC64
P2860
A hierarchical spectral clustering and nonlinear dimensionality reduction scheme for detection of prostate cancer from magnetic resonance spectroscopy (MRS).
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on September 2009
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
A hierarchical spectral cluste ...... resonance spectroscopy (MRS).
@en
A hierarchical spectral cluste ...... agnetic resonance spectroscopy
@nl
type
label
A hierarchical spectral cluste ...... resonance spectroscopy (MRS).
@en
A hierarchical spectral cluste ...... agnetic resonance spectroscopy
@nl
prefLabel
A hierarchical spectral cluste ...... resonance spectroscopy (MRS).
@en
A hierarchical spectral cluste ...... agnetic resonance spectroscopy
@nl
P2093
P2860
P356
P1433
P1476
A hierarchical spectral cluste ...... resonance spectroscopy (MRS).
@en
P2093
Anant Madabhushi
Mark Rosen
Pallavi Tiwari
P2860
P304
P356
10.1118/1.3180955
P407
P577
2009-09-01T00:00:00Z