Automated classification of duodenal imagery in celiac disease using evolved Fourier feature vectors

Computer Methods and Programs in Biomedicine

Volumn 95, Issue 2 SUPPL., 2009, Pages

  Vécsei, Andreas ^b   Fuhrmann, Thomas ^a   Liedlgruber, Michael ^a   Brunauer, Leonhard ^a   Payer, Hannes ^a   Uhl, Andreas ^a  

^a UNIVERSITY OF SALZBURG   (Austria)

^b ST ANNA CHILDREN S HOSPITAL   (Austria)

Author keywords

Bayes classifier; Endoscopy

Indexed keywords

AUTOMATED CLASSIFICATION; BAYES CLASSIFIER; CELIAC DISEASE; FEATURE EXTRACTION TECHNIQUES; FEATURE VECTORS; FOURIER; FOURIER DOMAINS; FOURIER FILTERS; HIGH SPECIFICITY; MULTI-CLASSIFIER; PIT PATTERNS; STANDARD ALGORITHMS;

CLASSIFIERS; DAMAGE DETECTION; ENDOSCOPY; EVOLUTIONARY ALGORITHMS; FOURIER TRANSFORMS; IMAGE CLASSIFICATION; LEARNING SYSTEMS;

FEATURE EXTRACTION;

ARTICLE; AUTOMATION; BAYESIAN LEARNING; CELIAC DISEASE; CLASSIFICATION; DUODENOSCOPY; EVOLUTIONARY ALGORITHM; FOURIER ANALYSIS; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGERY; INTESTINE VILLUS ATROPHY; K NEAREST NEIGHBOR; MAGNIFYING ENDOSCOPY; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE;

AUTOMATION; CELIAC DISEASE; DUODENUM; FOURIER ANALYSIS; HUMANS;

EID: 67650118808     PISSN: 01692607     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cmpb.2009.02.017     Document Type: Article

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