Individual detection of patients with Parkinson Disease using support vector machine analysis of diffusion tensor imaging data: Initial results

American Journal of Neuroradiology

Volumn 33, Issue 11, 2012, Pages 2123-2128

  Haller, Sven ^a   Badoud, S ^a   Nguyen, D ^b   Garibotto, V ^a   Lovblad, K O ^a   Burkhard, P R ^a  

^a GENEVA UNIVERSITY HOSPITALS   (Switzerland)

^b Centre Diagnostic Radiologique Carouge   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

IOFLUPANE I 123;

AGED; ARTICLE; CLASSIFICATION ALGORITHM; CLINICAL ARTICLE; COMPUTER PROGRAM; COST EFFECTIVENESS ANALYSIS; DIAGNOSTIC ACCURACY; DIFFUSION TENSOR IMAGING; FEMALE; FRACTIONAL ANISOTROPY; FRONTAL LOBE; HUMAN; IMAGE PROCESSING; MALE; NEUROIMAGING; NEUROLOGIC EXAMINATION; NUCLEAR MAGNETIC RESONANCE SCANNER; PARKINSON DISEASE; PARKINSONISM; RIGHT HEMISPHERE; SINGLE PHOTON EMISSION COMPUTER TOMOGRAPHY; SUPPORT VECTOR MACHINE; WHITE MATTER; WHOLE BODY MRI;

AGED; ALGORITHMS; BRAIN; DIFFUSION MAGNETIC RESONANCE IMAGING; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MALE; PARKINSON DISEASE; PATTERN RECOGNITION, AUTOMATED; PILOT PROJECTS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINES;

EID: 84871741972     PISSN: 01956108     EISSN: 1936959X     Source Type: Journal    
DOI: 10.3174/ajnr.A3126     Document Type: Article

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