Identification of mild Alzheimer's Disease through automated classification of structural MRI features

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2012, Pages 428-431

  Diciotti, Stefano ^a   Ginestroni, Andrea ^a   Bessi, Valentina ^b   Giannelli, Marco ^c   Tessa, Carlo ^d   Bracco, Laura ^c   Mascalchi, Mario ^a   Toschi, Nicola ^e  

^a UNIVERSITY OF FLORENCE   (Italy)

^b CAREGGI UNIVERSITY HOSPITAL   (Italy)

^c UNIVERSITY HOSPITAL OF PISA   (Italy)

^d Versilia Hospital   (Italy)

^e UNIVERSITY OF ROME TOR VERGATA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ALZHEIMER'S DISEASE; AUTOMATED CLASSIFICATION; AUTOMATED FEATURES; BAYES CLASSIFIER; BRAIN REGIONS; CLASSIFICATION SCHEME; CLINICAL INVESTIGATION; CORTICAL THICKNESS; DISEASE PROGRESSION; FEATURE COMBINATION; FEATURE VECTORS; HEALTHY CONTROLS; HIGH-ACCURACY; PARAMETER OPTIMIZATION; SVM CLASSIFIERS;

AUTOMATION; BRAIN; MAGNETIC RESONANCE IMAGING; SUPPORT VECTOR MACHINES;

CLASSIFICATION (OF INFORMATION);

EID: 84870825325     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2012.6345959     Document Type: Conference Paper

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