GA and AdaBoost-based feature selection and combination for automated identification of dementia using FDG-PET imaging

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

Volumn 7202 LNCS, Issue , 2012, Pages 128-135

  Xia, Yong ^a,b   Zhang, Zhe ^a   Wen, Lingfeng ^a,b   Dong, Pei ^a   Feng, David Dagan ^a,c  

^a UNIVERSITY OF SYDNEY   (Australia)

^b ROYAL PRINCE ALFRED HOSPITAL   (Australia)

^c SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

AdaBoost algorithm; dementia classification; FDG PET imaging; genetic algorithm; support vector machine

Indexed keywords

ADABOOST ALGORITHM; ALZHEIMER'S DISEASE; AUTOMATED APPROACH; AUTOMATED IDENTIFICATION; CLASSIFICATION METHODS; FDG-PET; FEATURE GROUPS; FRONTOTEMPORAL DEMENTIAS; GLOBAL FEATURE; IMAGE FEATURES; IMAGE-BASED; LOCAL FEATURE; NORMAL CONTROLS;

ADAPTIVE BOOSTING; AUTOMATION; GENETIC ALGORITHMS; NEURODEGENERATIVE DISEASES; SUPPORT VECTOR MACHINES;

IMAGE PROCESSING;

EID: 84865812182     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-31919-8_17     Document Type: Conference Paper

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