Automatic detection of diabetic retinopathy exudates from non-dilated retinal images using mathematical morphology methods

Computerized Medical Imaging and Graphics

Volumn 32, Issue 8, 2008, Pages 720-727

  Sopharak, Akara ^a   Uyyanonvara, Bunyarit ^a   Barman, Sarah ^b   Williamson, Thomas H ^c  

^a THAMMASAT UNIVERSITY   (Thailand)

^b KINGSTON UNIVERSITY   (United Kingdom)

^c ST THOMAS HOSPITAL   (United Kingdom)

Author keywords

Diabetic retinopathy; Exudates; Morphology; Non dilated retinal images; Retinal image

Indexed keywords

BLOOD VESSELS; IMAGE ENHANCEMENT; MATHEMATICAL MORPHOLOGY; MATHEMATICAL OPERATORS; OPHTHALMOLOGY; SUGAR (SUCROSE);

AUTOMATIC DETECTIONS; CHEMICAL SOLUTIONS; CONTRAST IMAGES; DIABETIC RETINOPATHIES; DIABETIC RETINOPATHY; EXUDATES; MORPHOLOGICAL OPERATORS; NON-DILATED RETINAL IMAGES; PUPIL DILATIONS; RETINAL IMAGE; RETINAL IMAGES; SENSITIVITY AND SPECIFICITIES;

EYE PROTECTION;

ARTICLE; DIABETIC RETINOPATHY; DIAGNOSTIC IMAGING; HUMAN; MATHEMATICAL MODEL; MORPHOLOGY; OPHTHALMOLOGY; PRIORITY JOURNAL; RETINA IMAGE; SENSITIVITY AND SPECIFICITY;

DIABETIC RETINOPATHY; EXUDATES AND TRANSUDATES; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MODELS, ANATOMIC; PATTERN RECOGNITION, AUTOMATED; PHOTOMICROGRAPHY; REFERENCE VALUES; RETINA; RETINAL VESSELS; SENSITIVITY AND SPECIFICITY; WORK SIMPLIFICATION;

EID: 55949109974     PISSN: 08956111     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compmedimag.2008.08.009     Document Type: Article

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