Open Access   Article Go Back

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.

View this paper at   Google Scholar | DPI Digital Library

XML View
PDF Download

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

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 -

VIEWS PDF XML
1046 494 downloads 280 downloads
  
  
           

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

[1] Sujith Kumar S B* “ Automatic Detection of Diabetic Retinopathy in Non-dilated RGB Retinal Fundus Images” ,International Journal of Computer Applications (0975 – 888) Volume 47–No.19, June 2012.
[2] Jyotiprava Dash” A Survey on Blood Vessel detection Methodologies in Retinal Images”, 2015 International Conference on Computational Intelligence & Networks, pp 166-171.
[3] Surbhi Sangwan,Vishal Sharma,and Misha Kakkar,” Identification of different stages of diabetic retinopathy”, International Conference on Computer and Computational Sciences (ICCCS),pp.232-237,2015.
[4] www.who.int/mediacentre/factsheets/fs312/en/
[5] Jiri Minar, Marek Pinkava, Kamil Riha“Automatic Extraction of Blood Vessels and Veins using Laplace Operator in Fundus Image”.
[6] N.S Dutta, P. Saha, H. S. Dutta, D. Sarkar “A New Contrast Enhancement Method of RetinalImages in Diabetic Screening System”, 2015 IEEE 2nd International Conference on Recent Trends in Information Systems (ReTIS),pp 255-260 .
[7] Manjiri B. Patwari, Ramesh R., Yogesh M. Rajput, ” Automatic Detection of Retinal Venous Beading and Tortuosity by using Image processing Techniques”, International Journal of Computer Applications (0975 – 8887) Recent Advances in Information Technology, 2014, pp 27-32.
[8] Sandra Morales, Valery Naranjo, Amparo Navea, and Mariano Alca˜niz, ” Computer-Aided Diagnosis Software for Hypertensive Risk DeterminationThrough Fundus Image Processing”,pp 1757-1763.
[9] Tsuyoshi Inoue, Yuji Hatanaka, Susumu Okumura, “Automated Microaneurysm Detection Method Based on Eigenvalue Analysis Using Hessian Matrix in Retinal Fundus Images”, 35th Annual International Conference of the IEEE EMBS Osaka, Japan, 3 - 7 July, 2013,pp5873-5876.
[10] Dr. Pradeep Nijalingappa, Sandeep B. “Machine Learning Approach for the Identification of Diabetes Retinopathy and its Stages”, 2015 International Conference on Applied and Theoretical Computing and Communication Technology pp653-658.
[11] Akara Sopharak “.Automatic Microaneurysms Detection from Non-dilated Diabetic Retinopathy Retinal Images Using Mathematical Morphology Methods”, IAENG International Journal of Computer Science.
[12] S.Chaudhuri, S.Chatterjee, N.Katz, N.Nelson and M.Goldbaum, ”Detection of blood vessels in retinal images using two-dimensional matched filter”, IEEE trans medical imaging,vol.8, no.3,pp.263-269,1989