Detection of hard exudates in retinal images using a radial basis function classifier

Annals of Biomedical Engineering

Volumn 37, Issue 7, 2009, Pages 1448-1463

  García, María ^a   Sánchez, Clara I ^a   Poza, Jesús ^a   López, María I ^b   Hornero, Roberto ^a  

^a UNIVERSITY OF VALLADOLID   (Spain)

^b UNIVERSITY OF VALLADOLID   (Spain)

Author keywords

Diabetic retinopathy; Logistic regression; Neural network; Retinal imaging

Indexed keywords

ADAPTIVE THRESHOLDING; AUTOMATIC RECOGNITION; DIABETIC RETINOPATHY; FUNDUS IMAGE; HARD EXUDATES; HEALTHY RETINAS; IMAGE REGIONS; IMAGE-BASED; LOGISTIC REGRESSION; LOGISTIC REGRESSIONS; MEAN SENSITIVITY; OPTIMAL SUBSETS; PIXEL RESOLUTION; POSITIVE PREDICTIVE VALUES; POST-PROCESSING TECHNIQUES; RADIAL BASIS FUNCTION CLASSIFIERS; RADIAL BASIS FUNCTION NEURAL NETWORKS; RETINAL IMAGE; RETINAL IMAGING; TEST SETS; TRAINING SETS; VISUAL IMPAIRMENT;

ALGORITHMS; ATTITUDE CONTROL; DIAGNOSIS; ELECTRIC REACTORS; EYE PROTECTION; IMAGE SEGMENTATION; LOGISTICS; NEURAL NETWORKS; OPHTHALMOLOGY; RADIAL BASIS FUNCTION NETWORKS; REGRESSION ANALYSIS; SET THEORY; SUGAR (SUCROSE);

IMAGE ENHANCEMENT;

AGED; ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; CYTOLOGY; DIABETIC RETINOPATHY; EXUDATE; FEMALE; HUMAN; IMAGE ENHANCEMENT; MALE; METHODOLOGY; PATHOLOGY; REPRODUCIBILITY; RETINA; RETINOSCOPY; SENSITIVITY AND SPECIFICITY;

AGED; ALGORITHMS; ARTIFICIAL INTELLIGENCE; DIABETIC RETINOPATHY; EXUDATES AND TRANSUDATES; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MALE; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; RETINA; RETINOSCOPY; SENSITIVITY AND SPECIFICITY;

EID: 67650397889     PISSN: 00906964     EISSN: 15739686     Source Type: Journal    
DOI: 10.1007/s10439-009-9707-0     Document Type: Article

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