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Automatic Screening of Diabetic Maculopathy Using Image Processing: A Survey

Automatic Screening of Diabetic Maculopathy Using Image Processing: A Survey

Shweta Reddy
Copyright: © 2019 |Volume: 15 |Issue: 4 |Pages: 8
ISSN: 1548-3908|EISSN: 1548-3916|EISBN13: 9781522564171|DOI: 10.4018/IJTHI.2019100103
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MLA

Reddy, Shweta. "Automatic Screening of Diabetic Maculopathy Using Image Processing: A Survey." IJTHI vol.15, no.4 2019: pp.30-37. http://doi.org/10.4018/IJTHI.2019100103

APA

Reddy, S. (2019). Automatic Screening of Diabetic Maculopathy Using Image Processing: A Survey. International Journal of Technology and Human Interaction (IJTHI), 15(4), 30-37. http://doi.org/10.4018/IJTHI.2019100103

Chicago

Reddy, Shweta. "Automatic Screening of Diabetic Maculopathy Using Image Processing: A Survey," International Journal of Technology and Human Interaction (IJTHI) 15, no.4: 30-37. http://doi.org/10.4018/IJTHI.2019100103

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Abstract

Retinal imaging is a challenging screening method for detection of retinal abnormalities. Diabetic Maculopathy (DM) is a condition that can result from retinopathy. Regular screening is necessary for diabetic maculopathy in order to identify the risk of vision loss. Maculopathy is damage to macula, the key region responsible for high sharp colour vision. Diabetic Retinopathy and Diabetic Maculopathy needs regular observation in order to indicate visual impairment risk. In this article, the author first presents a brief summary of diabetic maculopathy and its causes. Then, an exhaustive literature review of different automated DM diagnosis systems offered. It is important for ophthalmologists to have an automated system which detects early symptoms of the disease and yields a high accurate result. A vital assessment of the image processing techniques used for DM feature detection is projected in this paper. Various methods have been proposed to identify and classify DM based on severity level.

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