Survey of Automatic Detection of Diabetic Retinopathy using digital image processing
Saurabh. S. Athalye1 , Gaurav Vijay2
Section:Survey Paper, Product Type: Journal Paper
Volume-7 ,
Issue-3 , Page no. 352-355, Mar-2019
CrossRef-DOI: https://doi.org/10.26438/ijcse/v7i3.352355
Online published on Mar 31, 2019
Copyright © Saurabh. S. Athalye, Gaurav Vijay . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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IEEE Style Citation: Saurabh. S. Athalye, Gaurav Vijay, “Survey of Automatic Detection of Diabetic Retinopathy using digital image processing,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.3, pp.352-355, 2019.
MLA Style Citation: Saurabh. S. Athalye, Gaurav Vijay "Survey of Automatic Detection of Diabetic Retinopathy using digital image processing." International Journal of Computer Sciences and Engineering 7.3 (2019): 352-355.
APA Style Citation: Saurabh. S. Athalye, Gaurav Vijay, (2019). Survey of Automatic Detection of Diabetic Retinopathy using digital image processing. International Journal of Computer Sciences and Engineering, 7(3), 352-355.
BibTex Style Citation:
@article{Athalye_2019,
author = {Saurabh. S. Athalye, Gaurav Vijay},
title = {Survey of Automatic Detection of Diabetic Retinopathy using digital image processing},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2019},
volume = {7},
Issue = {3},
month = {3},
year = {2019},
issn = {2347-2693},
pages = {352-355},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3844},
doi = {https://doi.org/10.26438/ijcse/v7i3.352355}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i3.352355}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3844
TI - Survey of Automatic Detection of Diabetic Retinopathy using digital image processing
T2 - International Journal of Computer Sciences and Engineering
AU - Saurabh. S. Athalye, Gaurav Vijay
PY - 2019
DA - 2019/03/31
PB - IJCSE, Indore, INDIA
SP - 352-355
IS - 3
VL - 7
SN - 2347-2693
ER -
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Abstract
Diabetic Retinopathy is brutal eye disease, which is acting as a major cause of blindness in young or middle age population. In this disease there are major chances of losing vision by patient. According to many eye specialists, it is tough to detect this disease in its early stage. If we could able to detect this disease in early stage we can save patient’s vision. For this purpose doctors recommend periodical checking of eyes by specialist. But in country like India, number of specialists available is not at all sufficient for the overall population of the country. It is also a fact that, these specialists are mostly available for city population. In rural areas there is scarcity of eye specialists and testing equipment’s. In this scenario periodical screening programs and automated Diabetic Retinopathy detection can help a lot. Numbers of researchers are attracted towards research on Automatic DR detection. Proposed paper focuses on medical background of DR and comparison of some existing methods for automatic DR detection.
Key-Words / Index Term
Diabetic Retinopathy (DR), exudates (EXs), microaneurysms (MAs), hemorrhages (HMs)
References
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