Classification of functional brain images using a GMM-based multi-variate approach

Neuroscience Letters

Volumn 474, Issue 1, 2010, Pages 58-62

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

^a UNIVERSITY OF GRANADA   (Spain)

Author keywords

Alzheimer's disease; EM algorithm; Functional brain images; Gaussian mixture models; PET; SPECT

Indexed keywords

CYSTEINE ETHYL ESTER TC 99M; FLUORODEOXYGLUCOSE F 18;

ALZHEIMER DISEASE; ARTICLE; AUTOMATION; BRAIN REGION; CLINICAL ARTICLE; COMPUTER ASSISTED DIAGNOSIS; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; LEARNING ALGORITHM; NEUROIMAGING; NORMAL DISTRIBUTION; POSITRON EMISSION TOMOGRAPHY; PRIORITY JOURNAL; SAMPLE SIZE; SENSITIVITY AND SPECIFICITY; SINGLE PHOTON EMISSION COMPUTER TOMOGRAPHY; SUPPORT VECTOR MACHINE; VALIDATION PROCESS;

ALZHEIMER DISEASE; ANALYSIS OF VARIANCE; ARTIFICIAL INTELLIGENCE; BRAIN; HUMANS; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; POSITRON-EMISSION TOMOGRAPHY; RADIOGRAPHY; REFERENCE VALUES; TOMOGRAPHY, EMISSION-COMPUTED, SINGLE-PHOTON;

EID: 77951025097     PISSN: 03043940     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neulet.2010.03.010     Document Type: Article

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