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.
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IJRTI — journal style
"A Survey on Detection of Diabetic Retinopathy", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.4, Issue 5, page no.123 - 126, May-2019, Available :https://ijrti.org/papers/IJRTI1905029.pdf
APA — 7th edition
K, K., G, S., A, N. P., & Y, H. (2019). A Survey on Detection of Diabetic Retinopathy. International Journal for Research Trends and Innovation, 4(5), 123 - 126. https://ijrti.org/viewpaperforall.php?paper=IJRTI1905029
MLA — 9th edition
K, Kusumalatha, et al. "A Survey on Detection of Diabetic Retinopathy." International Journal for Research Trends and Innovation, vol. 4, no. 5, 2019, pp. 123 - 126, https://ijrti.org/viewpaperforall.php?paper=IJRTI1905029.
Chicago — 17th, bibliography
K, Kusumalatha, et al. "A Survey on Detection of Diabetic Retinopathy." International Journal for Research Trends and Innovation 4, no. 5 (2019): 123 - 126. https://ijrti.org/viewpaperforall.php?paper=IJRTI1905029.
Harvard — author–date
K, K. et al. (2019) 'A Survey on Detection of Diabetic Retinopathy', International Journal for Research Trends and Innovation, 4(5), pp. 123 - 126. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI1905029
IEEE — numbered reference
K. K, S. G, N. P. A and H. Y, "A Survey on Detection of Diabetic Retinopathy," IJRTI, vol. 4, no. 5, pp. 123 - 126, May. 2019.
Vancouver — biomedical
K K, G S, A NP, Y H. A Survey on Detection of Diabetic Retinopathy. IJRTI. 2019 May;4(5):123 - 126.
AMA — 11th edition
K K, G S, A NP, Y H. A Survey on Detection of Diabetic Retinopathy. IJRTI. 2019;4(5):123 - 126. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI1905029
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI1905029,
author = {Kusumalatha K and Sneha G and Nehalakshmi P A and Harshitha Y},
title = {A Survey on Detection of Diabetic Retinopathy},
journal = {International Journal for Research Trends and Innovation},
volume = {4},
number = {5},
pages = {123 - 126},
year = {2019},
month = {May},
issn = {2456-3315},
url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI1905029}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - K, Kusumalatha
AU - G, Sneha
AU - A, Nehalakshmi P
AU - Y, Harshitha
TI - A Survey on Detection of Diabetic Retinopathy
T2 - International Journal for Research Trends and Innovation
JA - IJRTI
VL - 4
IS - 5
PY - 2019
SN - 2456-3315
UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI1905029
SP - 123
EP - 126
ER -
International Journal for Research Trends and InnovationPublished by IJRTI (JW Publication)
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Declarations
Funding
No external funding was received for this study.
Conflict of Interest
The authors declare that they have no conflict of interest.
Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.