Diagnosis of Alzheimer's disease using 3D local binary patterns

Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization

Volumn 1, Issue 1, 2013, Pages 2-12

  Morgado, Pedro ^a,b   Silveira, Margarida ^a,b   Marques, Jorge S ^a,b  

^a INSTITUTO SUPERIOR TÉCNICO   (Portugal)

^b INSTITUTE FOR SYSTEMS AND ROBOTICS   (Portugal)

Author keywords

3D local binary patterns; Alzheimer's disease; computer aided diagnosis; mild cognitive impairment; texture extraction

Indexed keywords

COMPUTER AIDED DIAGNOSIS; NEUROIMAGING; POSITRON EMISSION TOMOGRAPHY;

2D TEXTURES; 3D LOCAL BINARY PATTERN; ALZHEIMERS DISEASE; COGNITIVE IMPAIRMENT; FLUORODEOXYGLUCOSE-POSITRON EMISSION TOMOGRAPHIES; LOCAL BINARY PATTERNS; MILD COGNITIVE IMPAIRMENT; NEUROIMAGING TECHNIQUES; TEXTURE DESCRIPTORS; TEXTURE EXTRACTION;

NEURODEGENERATIVE DISEASES;

FLUORODEOXYGLUCOSE;

AGED; ALGORITHM; ALZHEIMER DISEASE; ARTICLE; CLINICAL DEMENTIA RATING; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; MATHEMATICAL MODEL; MILD COGNITIVE IMPAIRMENT; MINI MENTAL STATE EXAMINATION; NEUROIMAGING; POSITRON EMISSION TOMOGRAPHY; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE; THREE DIMENSIONAL IMAGING; VALIDATION PROCESS;

EID: 84981363505     PISSN: 21681163     EISSN: 21681171     Source Type: Journal    
DOI: 10.1080/21681163.2013.764609     Document Type: Article

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