Automatic detection of diabetic retinopathy exudates from non-dilated retinal images using mathematical morphology methods
✍ Scribed by Akara Sopharak; Bunyarit Uyyanonvara; Sarah Barman; Thomas H. Williamson
- Publisher
- Elsevier Science
- Year
- 2008
- Tongue
- English
- Weight
- 797 KB
- Volume
- 32
- Category
- Article
- ISSN
- 0895-6111
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✦ Synopsis
Diabetic retinopathy is a complication of diabetes that is caused by changes in the blood vessels of the retina. The symptoms can blur or distort the patient's vision and are a main cause of blindness. Exudates are one of the primary signs of diabetic retinopathy. Detection of exudates by ophthalmologists normally requires pupil dilation using a chemical solution which takes time and affects patients. This paper investigates and proposes a set of optimally adjusted morphological operators to be used for exudate detection on diabetic retinopathy patients' non-dilated pupil and low-contrast images. These automatically detected exudates are validated by comparing with expert ophthalmologists' hand-drawn ground-truths. The results are successful and the sensitivity and specificity for our exudate detection is 80% and 99.5%, respectively.