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

Sopharak, Akara, Uyyanonvara, Bunyarit, Barman, Sarah and Williamson, Thomas H. (2008) Automatic detection of diabetic retinopathy exudates from non-dilated retinal images using mathematical morphology methods. Computerized Medical Imaging and Graphics, 32(8), pp. 720-727. ISSN (print) 0895-6111

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Abstract

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.

Item Type: Article
Uncontrolled Keywords: diabetic retinopathy, exudates, retinal image, non-dilated retinal images, morphology, color fundus images, identification, diagnosis, network, tool
Faculty, School or Research Centre: Faculty of Computing, Information Systems and Mathematics (until 2011) > Digital Imaging Research Centre (DIRC)
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Depositing User: Automatic Import Agent
Date Deposited: 21 Apr 2010 11:00
Last Modified: 09 Dec 2011 14:51
URI: http://eprints.kingston.ac.uk/id/eprint/8361

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