Magnetic resonance imaging biomarkers for the early diagnosis of Alzheimer's disease: A machine learning approach

Frontiers in Neuroscience

Volumn 9, Issue SEP, 2015, Pages

  Salvatore, Christian ^a   Cerasa, Antonio ^b   Battista, Petronilla ^a   Gilardi, Maria C ^a   Quattrone, Aldo ^c   Castiglioni, Isabella ^a  

^a INSTITUTE OF MOLECULAR BIOIMAGING AND PHYSIOLOGY   (Italy)

^b CNR   (Italy)

^c UNIVERSITY MAGNA GRAECIA OF CATANZARO   (Italy)

Author keywords

Alzheimer's disease; Artificial intelligence; Automatic classification; Machine learning; Magnetic resonance imaging; Mild cognitive impairment; Structural neuroimaging biomarkers; Support vector machine

Indexed keywords

BIOLOGICAL MARKER;

ADULT; AGED; ALZHEIMER DISEASE; ARTICLE; BASAL GANGLION; CEREBELLUM; COHORT ANALYSIS; CONTROLLED STUDY; ENTORHINAL CORTEX; FEMALE; HIPPOCAMPUS; HUMAN; MACHINE LEARNING; MAJOR CLINICAL STUDY; MALE; MILD COGNITIVE IMPAIRMENT; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; ORBITAL CORTEX; PRECUNEUS;

EID: 84946568091     PISSN: 16624548     EISSN: 1662453X     Source Type: Journal    
DOI: 10.3389/fnins.2015.00307     Document Type: Article

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