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Volumn 15, Issue 6, 2010, Pages
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Optimal algorithm for automatic detection of microaneurysms based on receiver operating characteristic curve
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Author keywords
diabetic retinopathy (DR); microaneurysms (MAs); receiver operation characteristic (ROC) curve; support vector machine (SVM)
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Indexed keywords
AUTOMATIC DETECTION;
COMPUTER ASSISTED DIAGNOSIS;
DIABETIC RETINOPATHY;
FEATURE VECTORS;
KERNEL FUNCTION;
MICROANEURYSMS;
MICROANEURYSMS (MAS);
OPTIMAL ALGORITHM;
QUADRATIC POLYNOMIAL;
RECEIVER OPERATING CHARACTERISTIC CURVES;
RECEIVER OPERATION CHARACTERISTIC CURVES;
ROC ANALYSIS;
TOP HAT;
ALGORITHMS;
DIAGNOSIS;
EYE PROTECTION;
IMAGE RETRIEVAL;
MATHEMATICAL MORPHOLOGY;
SUPPORT VECTOR MACHINES;
VECTORS;
FEATURE EXTRACTION;
ALGORITHM;
ANEURYSM;
ARTICLE;
ARTIFICIAL INTELLIGENCE;
AUTOMATED PATTERN RECOGNITION;
COMPUTER ASSISTED DIAGNOSIS;
DIABETIC RETINOPATHY;
EVALUATION;
HUMAN;
IMAGE ENHANCEMENT;
METHODOLOGY;
PATHOLOGY;
RECEIVER OPERATING CHARACTERISTIC;
REPRODUCIBILITY;
RETINOSCOPY;
SENSITIVITY AND SPECIFICITY;
ALGORITHMS;
ANEURYSM;
ARTIFICIAL INTELLIGENCE;
DIABETIC RETINOPATHY;
HUMANS;
IMAGE ENHANCEMENT;
IMAGE INTERPRETATION, COMPUTER-ASSISTED;
PATTERN RECOGNITION, AUTOMATED;
REPRODUCIBILITY OF RESULTS;
RETINOSCOPY;
ROC CURVE;
SENSITIVITY AND SPECIFICITY;
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EID: 79955956431
PISSN: 10833668
EISSN: 15602281
Source Type: Journal
DOI: 10.1117/1.3523367 Document Type: Conference Paper |
Times cited : (9)
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References (9)
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