Simple methods for segmentation and measurement of diabetic retinopathy lesions in retinal fundus images

Computer Methods and Programs in Biomedicine

Volumn 107, Issue 2, 2012, Pages 274-293

  Köse, Cemal ^a   Şevik, Uĝur ^a   Ikibaş, Cevat ^a   Erdöl, Hidayet ^a  

^a KARADENIZ TECHNICAL UNIVERSITY   (Turkey)

Author keywords

Automatic diagnosis of DR; Automatic segmentation; Background image extraction; DR; Medical image analysis; Optic disc; Retinal images

Indexed keywords

AUTOMATIC DIAGNOSIS; AUTOMATIC SEGMENTATIONS; BACKGROUND IMAGE; DR; MEDICAL IMAGE ANALYSIS; OPTIC DISC; RETINAL IMAGE;

COTTON; DIAGNOSIS; EYE PROTECTION; INVERSE PROBLEMS; OPHTHALMOLOGY; WOOL; YARN;

IMAGE SEGMENTATION;

ARTICLE; BAYESIAN LEARNING; DIABETIC RETINOPATHY; DISEASE COURSE; EYE FUNDUS; HUMAN; IMAGE ANALYSIS; IMAGE QUALITY; MICROANEURYSM; OPTIC DISK; RETINA HEMORRHAGE; RETINA MACULA AGE RELATED DEGENERATION;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DIABETIC RETINOPATHY; FLUORESCEIN ANGIOGRAPHY; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; RETINOSCOPY; SENSITIVITY AND SPECIFICITY;

EID: 84861966362     PISSN: 01692607     EISSN: 18727565     Source Type: Journal    
DOI: 10.1016/j.cmpb.2011.06.007     Document Type: Article

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