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Reseach Article

A Review Paper on Detection of Optic Disc Damage using Retinal Images

by Apeksha R. Padaria, Bhailal Limbasiya
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 111 - Number 13
Year of Publication: 2015
Authors: Apeksha R. Padaria, Bhailal Limbasiya
10.5120/19595-1391

Apeksha R. Padaria, Bhailal Limbasiya . A Review Paper on Detection of Optic Disc Damage using Retinal Images. International Journal of Computer Applications. 111, 13 ( February 2015), 1-4. DOI=10.5120/19595-1391

@article{ 10.5120/19595-1391,
author = { Apeksha R. Padaria, Bhailal Limbasiya },
title = { A Review Paper on Detection of Optic Disc Damage using Retinal Images },
journal = { International Journal of Computer Applications },
issue_date = { February 2015 },
volume = { 111 },
number = { 13 },
month = { February },
year = { 2015 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume111/number13/19595-1391/ },
doi = { 10.5120/19595-1391 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:47:45.792928+05:30
%A Apeksha R. Padaria
%A Bhailal Limbasiya
%T A Review Paper on Detection of Optic Disc Damage using Retinal Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 111
%N 13
%P 1-4
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Glaucoma is a chronic eye disease, which can be controlled but cannot be cured. If left untreated, loss of vision occurs gradually and even become blind. The detection and diagnosis of glaucoma is important. In glaucoma, Optic Cup (OC) is dependent on the type of glaucoma and the level of intra ocular pressure. Localization of Optic Disc (OD) simplifies the segmentation. OD and OC detection is a primary step in developing an automated algorithm for glaucoma detection. The paper provides overview of the different methods for optic cup and optic disc detection from retinal image.

References
  1. Fauzia Khan, Shoaib A. Khan, Ubaid Ullah Yasin, Ihtisham ul Haq, Usman Qamar,"Detection of Glaucoma Using Retinal Fundus Images" The 2013 Biomedical Engineering International Conference 2013
  2. Preeti, Jyotika Pruthi," Review of Image Processing Technique for Glaucoma Detection" IJCSMC, Vol. 2, Issue. 11, November 2013, pg. 99 – 105
  3. Hafsah Ahmad, Aqsa Shakeel, Syed Omer Gillani, Umer Ansari, "Detection of Glaucoma Using Retinal Fundus Images" April 2014 IEEE
  4. Mei Hui Tan, Ying Sun, Sim Heng Ong, Jiang Liu, Mani Baskaran, Tin Aung, Tien Yin Wong, "Automatic Notch Detection In Retinal Images" 2013 IEEE 10th International Symposium on Biomedical Imaging From Nano to Macro San Francisco, CA, USA, April 7-11, 2013
  5. DharmannaLamani1, T. C. Manjunath2, Ramegowda3,"Cup-disk Segmentation and Fractal Dimension to Detect Glaucomatous Eyes" Research & Technology in the CRT 2013, National Conference on Challenges in September 2013.
  6. Fengshou Yin, Jiang Liu, Sim Heng Ong, Ying Sun, Damon, "Model-based Optic Nerve Head Segmentation on Retinal Fundus Images" 33rd Annual International Conference of the IEEE EMBS Boston, Massachusetts USA, September 2011
  7. Sushma G. Thorat M. E. (Electronics and Telecommunication), " Automated Glaucoma Screening using CDR from 2D Fundus Images" International Journal of Computational Engineering Research (IJCER) ISSN (e): 2250 – 3005 || Vol, 04 || Issue, 5 || May – 2014
Index Terms

Computer Science
Information Sciences

Keywords

Glaucoma Cup to Disc Ratio (CDR) ISNT Fundus Image Optic Disc Segmentation Optic Cup Segmentation