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Volumn 50, Issue 1, 2016, Pages 233-248

Detection of Alzheimer's Disease by Three-Dimensional Displacement Field Estimation in Structural Magnetic Resonance Imaging

Author keywords

Alzheimer's disease; computer vision; displacement field; generalized eigenvalue proximal support vector machine; machine learning; magnetic resonance imaging; pattern recognition; twin support vector machine

Indexed keywords

ADULT; AGED; ALZHEIMER DISEASE; ANGULAR GYRUS; ARTICLE; BRAIN REGION; BRAIN THIRD VENTRICLE; CINGULATE GYRUS; CLINICAL ARTICLE; CLINICAL DEMENTIA RATING; COMPARATIVE STUDY; CONTROLLED STUDY; FEMALE; HUMAN; INFERIOR PARIETAL LOBULE; INSULA; LINGUAL GYRUS; MALE; MIDDLE TEMPORAL GYRUS; MINI MENTAL STATE EXAMINATION; NUCLEAR MAGNETIC RESONANCE IMAGING; OCCIPITAL GYRUS; POSTCENTRAL GYRUS; PRECUNEUS; PRIMARY MOTOR CORTEX; PRIORITY JOURNAL; SIGNAL NOISE RATIO; SUPERIOR PARIETAL LOBULE; SUPERIOR TEMPORAL GYRUS; SUPPORT VECTOR MACHINE; SUPRAMARGINAL GYRUS; THALAMUS; THREE DIMENSIONAL DISPLACEMENT FIELD ESTIMATION; THREE DIMENSIONAL IMAGING; BRAIN; BRAIN MAPPING; INFORMATION PROCESSING; MACHINE LEARNING; PATHOLOGY; PROCEDURES; STATISTICS AND NUMERICAL DATA; VERY ELDERLY;

EID: 84954184199     PISSN: 13872877     EISSN: 18758908     Source Type: Journal    
DOI: 10.3233/JAD-150848     Document Type: Article
Times cited : (98)

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