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Volumn 222, Issue , 2014, Pages 230-237

Machine learning on brain MRI data for differential diagnosis of Parkinson's disease and Progressive Supranuclear Palsy

Author keywords

Machine learning; Magnetic resonance imaging (MRI); Parkinson's disease (PD); Progressive Supranuclear Palsy (PSP); Support Vector Machine (SVM)

Indexed keywords

AGED; ARTICLE; CLASSIFICATION ALGORITHM; CONTROLLED STUDY; CORPUS CALLOSUM; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DIFFERENTIAL DIAGNOSIS; DISEASE CLASSIFICATION; FEMALE; HUMAN; IMAGE PROCESSING; MACHINE LEARNING; MAJOR CLINICAL STUDY; MALE; MESENCEPHALON; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PARKINSON DISEASE; PATHOPHYSIOLOGY; PONS; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; PROGRESSIVE SUPRANUCLEAR PALSY; RETROSPECTIVE STUDY; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE; THALAMUS; VOXEL BASED MORPHOMETRY;

EID: 84890764457     PISSN: 01650270     EISSN: 1872678X     Source Type: Journal    
DOI: 10.1016/j.jneumeth.2013.11.016     Document Type: Article
Times cited : (240)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.