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Automated Detection of Diabetic Retinopathy through Blood Vessel and Micro-aneurysms

Renu 1 , Sachin Kumar2 , Sumita Mishra3 , Pragya 4

  1. Amity University, Lucknow Campus, India.
  2. Amity University, Lucknow Campus, India.
  3. Amity University, Lucknow Campus, India.
  4. MVPG College, Lucknow, India.

Correspondence should be addressed to: renu01nov19@gmail.com .

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-2 , Page no. 168-175, Feb-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i2.168175

Online published on Feb 28, 2018

Copyright © Renu, Sachin Kumar, Sumita Mishra, Pragya . 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: Renu, Sachin Kumar, Sumita Mishra, Pragya, “Automated Detection of Diabetic Retinopathy through Blood Vessel and Micro-aneurysms,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.2, pp.168-175, 2018.

MLA Style Citation: Renu, Sachin Kumar, Sumita Mishra, Pragya "Automated Detection of Diabetic Retinopathy through Blood Vessel and Micro-aneurysms." International Journal of Computer Sciences and Engineering 6.2 (2018): 168-175.

APA Style Citation: Renu, Sachin Kumar, Sumita Mishra, Pragya, (2018). Automated Detection of Diabetic Retinopathy through Blood Vessel and Micro-aneurysms. International Journal of Computer Sciences and Engineering, 6(2), 168-175.

BibTex Style Citation:
@article{Kumar_2018,
author = {Renu, Sachin Kumar, Sumita Mishra, Pragya},
title = {Automated Detection of Diabetic Retinopathy through Blood Vessel and Micro-aneurysms},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2018},
volume = {6},
Issue = {2},
month = {2},
year = {2018},
issn = {2347-2693},
pages = {168-175},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1717},
doi = {https://doi.org/10.26438/ijcse/v6i2.168175}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i2.168175}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1717
TI - Automated Detection of Diabetic Retinopathy through Blood Vessel and Micro-aneurysms
T2 - International Journal of Computer Sciences and Engineering
AU - Renu, Sachin Kumar, Sumita Mishra, Pragya
PY - 2018
DA - 2018/02/28
PB - IJCSE, Indore, INDIA
SP - 168-175
IS - 2
VL - 6
SN - 2347-2693
ER -

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Abstract

Vision is the way we access, appreciate and interpret the world. Diabetic retinopathy is one of the common diseases which if remain undetected; causes blindness. Micro aneurysm is the first visible sign of Diabetic retinopathy; which appears like a tiny blood droplet on retinal fundus images. The bunches of Micro aneurysms may be examined to indicate the severity of the disease. The incidence of blindness caused by diabetes mellitus reduces by the early detection of MAs. This paper presents a novel approach for the automated detection of DR from fundus images using blood vessel perimeter measurement and Micro aneurysms count. The suggested method correctly identifies Micro aneurism even in poor quality image.

Key-Words / Index Term

blood vessel; micro-aneurysms; fundus; hemorrhage

References

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