Principal component analysis-based techniques and supervised classification schemes for the early detection of Alzheimer's disease

Neurocomputing

Volumn 74, Issue 8, 2011, Pages 1260-1271

  Lopez M ^a   Ramirez J ^a   Gorriz J M ^a   Alvarez I ^a   Salas Gonzalez, D ^a   Segovia, F ^a   Chaves, R ^a   Padilla, P ^a   Gomez Rio M ^b  

^a UNIVERSITY OF GRANADA   (Spain)

^b HOSPITAL UNIVERSITARIO VIRGEN DE LAS NIEVES   (Spain)

Author keywords

Alzheimer's disease; Computer aided diagnosis system; LDA; PCA; Supervised learning

Indexed keywords

ALZHEIMER'S DISEASE; AUTOMATIC EVALUATION; BRAIN IMAGES; COMPUTER-AIDED DIAGNOSIS SYSTEM; EARLY DETECTION; FEATURE EXTRACTION TECHNIQUES; FEATURE SELECTION; FISHER DISCRIMINANT; LDA; LINEAR APPROACH; LINEAR DISCRIMINANT ANALYSIS; PCA; PET IMAGES; SMALL SAMPLE SIZE PROBLEMS; SUPERVISED CLASSIFICATION; VISUAL INTERPRETATION;

COMPUTER AIDED INSTRUCTION; COMPUTERIZED TOMOGRAPHY; DISCRIMINANT ANALYSIS; FACE RECOGNITION; FEATURE EXTRACTION; IMAGE RETRIEVAL; MULTIPHOTON PROCESSES; NEURAL NETWORKS; NEURODEGENERATIVE DISEASES; POSITRON EMISSION TOMOGRAPHY; PRINCIPAL COMPONENT ANALYSIS; SINGLE PHOTON EMISSION COMPUTED TOMOGRAPHY; SUPERVISED LEARNING;

COMPUTER AIDED DIAGNOSIS;

ADULT; AGED; ALZHEIMER DISEASE; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLINICAL ARTICLE; COMPUTER ASSISTED DIAGNOSIS; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC IMAGING; DISCRIMINANT ANALYSIS; DISEASE CLASSIFICATION; FEMALE; HUMAN; MALE; NEUROIMAGING; POSITRON EMISSION TOMOGRAPHY; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY; SINGLE PHOTON EMISSION COMPUTER TOMOGRAPHY; SUPPORT VECTOR MACHINE;

EID: 79952617583     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2010.06.025     Document Type: Article

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