Identification of atrophy patterns in Alzheimer's disease based on SVM feature selection and anatomical parcellation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5128 LNCS, Issue , 2008, Pages 124-132

  Mesrob, Lilia ^a,b,c   Magnin, Benoit ^b,c   Colliot, Olivier ^c,d   Sarazin, Marie ^b,e   Hahn Barma, Valérie ^e   Dubois, Bruno ^b,e,f   Gallinari, Patrick ^a,f   Lehéricy, Stéphane ^b,c,e,f,g   Kinkingnéhun, Serge ^b,c,h   Benali, Habib ^b,c,f  

^a UNIVERSITÉ PIERRE ET MARIE CURIE   (France)

^b INSERM   (France)

^c SERVICE HOSPITALIER FRÉDÉRIC JOLIOT   (France)

^d Centre National de la Recherche Scientifique   (France)

^e PITIÉ SALPÊTRIÈRE HOSPITAL   (France)

^f SORBONNE UNIVERSITÉ   (France)

^g Center for NeuroImaging Research CENIR   (France)

^h E(ye)BRAIN   (France)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DISEASE CONTROL; GRANULAR MATERIALS; IDENTIFICATION (CONTROL SYSTEMS); MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; RESONANCE; SUPPORT VECTOR MACHINES; VIRTUAL REALITY;

ALZHEIMER'S DISEASE; ANATOMICAL REGIONS; AUGMENTED REALITY; CLASSIFICATION ACCURACIES; FEATURE SELECTION; FEATURE SELECTION ALGORITHMS; GRAY MATTER; SUPPORT-VECTOR MACHINE;

IMAGING TECHNIQUES;

EID: 50249141900     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-79982-5_14     Document Type: Conference Paper

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