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This paper describes an improved diabetic retinopathy detection scheme by the extraction of hard exudates and soft exudates (cotton wools). Exudates are one of the main symptoms of Diabetic Retinopathy (DR). DR is an eye disease which occurs due to the damage of retina as a result of long illness of diabetic mellitus which leads to blindness. The current technique of screening uses fundus photography and the data is sent to a grading centre for reading where expert human readers estimate the disease severity. This requires qualified experts and it fails to give timely treatment. An early detection of exudates prevents the patients from vision loss. This approach majorly focuses on the procedure of automated techniques for detection of exudates (hard and soft) and hence detects DR in early and advanced stages. After the exudates are detected, it is classified into normal eye, non-proliferative and proliferative DR eye. Linear SVM is used for the classification. Furthermore, this paper reviews the contribution of many researchers in this field and highlights the significant improvement achieved by them.
"A Survey on Detection of Diabetic Retinopathy", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.4, Issue 5, page no.123 - 126, May-2019, Available :http://www.ijrti.org/papers/IJRTI1905029.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator