Automated detection of exudates in colored retinal images for diagnosis of diabetic retinopathy

Applied Optics

Volumn 51, Issue 20, 2012, Pages 4858-4866

  Usman Akram, M ^a   Tariq, Anam ^a   Almas Anjum, M ^a   Younus Javed, M ^a  

^a NATIONAL UNIVERSITY OF SCIENCES AND TECHNOLOGY   (Pakistan)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATION; DIAGNOSIS; EYE PROTECTION; MEDICAL PROBLEMS; OPHTHALMOLOGY;

AUTOMATED DETECTION; AUTOMATED SYSTEMS; BAYESIAN CLASSIFIER; DIABETIC RETINOPATHY; GAUSSIAN FUNCTIONS; MICROANEURYSMS; NOVEL TECHNIQUES; PERFORMANCE PARAMETERS;

MEDICAL IMAGING;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BAYES THEOREM; CHEMISTRY; COMPUTER ASSISTED DIAGNOSIS; DIABETIC RETINOPATHY; EXUDATE; HUMAN; METHODOLOGY; PATHOLOGY; REPRODUCIBILITY; RETINA; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; BAYES THEOREM; DIABETIC RETINOPATHY; EXUDATES AND TRANSUDATES; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; RETINA; SENSITIVITY AND SPECIFICITY;

EID: 84863745290     PISSN: 1559128X     EISSN: 15394522     Source Type: Journal    
DOI: 10.1364/AO.51.004858     Document Type: Article

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