Frontiers for the early diagnosis of AD by means of MRI brain imaging and support vector machines

Current Alzheimer Research

Volumn 13, Issue 5, 2016, Pages 509-533

  Salvatore, Christian ^a   Battista, Petronilla ^a   Castiglioni, Isabella ^a  

^a CNR   (Italy)

Author keywords

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

Indexed keywords

AGING; ALGORITHM; ALZHEIMER DISEASE; ARTICLE; AUTOMATION; DIAGNOSTIC PROCEDURE; DIFFERENTIAL DIAGNOSIS; EARLY DIAGNOSIS; HUMAN; IMAGE PROCESSING; IN VIVO STUDY; MACHINE LEARNING; NEUROIMAGING; NON INVASIVE PROCEDURE; NUCLEAR MAGNETIC RESONANCE IMAGING; OUTCOME ASSESSMENT; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE; BRAIN; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC IMAGING; PATHOLOGY;

ALZHEIMER DISEASE; BRAIN; EARLY DIAGNOSIS; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; SUPPORT VECTOR MACHINE;

EID: 84964054020     PISSN: 15672050     EISSN: 18755828     Source Type: Journal    
DOI: 10.2174/1567205013666151116141705     Document Type: Article

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