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Automatic Detection of Diabetic Retinopathy- A Technological Breakthrough

Published on August 2015 by Chinar, Deepti Malhotra, and Alpana Agarwal
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International Conference on Advancements in Engineering and Technology
Foundation of Computer Science USA
ICAET2015 - Number 6
August 2015
Authors: Chinar, Deepti Malhotra, and Alpana Agarwal
b869e0f1-4b65-436c-87ed-21e1d9cc9f7b

Chinar, Deepti Malhotra, and Alpana Agarwal . Automatic Detection of Diabetic Retinopathy- A Technological Breakthrough. International Conference on Advancements in Engineering and Technology. ICAET2015, 6 (August 2015), 22-25.

@article{
author = { Chinar, Deepti Malhotra, and Alpana Agarwal },
title = { Automatic Detection of Diabetic Retinopathy- A Technological Breakthrough },
journal = { International Conference on Advancements in Engineering and Technology },
issue_date = { August 2015 },
volume = { ICAET2015 },
number = { 6 },
month = { August },
year = { 2015 },
issn = 0975-8887,
pages = { 22-25 },
numpages = 4,
url = { /proceedings/icaet2015/number6/22246-4081/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Advancements in Engineering and Technology
%A Chinar
%A Deepti Malhotra
%A and Alpana Agarwal
%T Automatic Detection of Diabetic Retinopathy- A Technological Breakthrough
%J International Conference on Advancements in Engineering and Technology
%@ 0975-8887
%V ICAET2015
%N 6
%P 22-25
%D 2015
%I International Journal of Computer Applications
Abstract

Diabetic Retinopathy is a dangerous eye disease and the most common cause of blindness for worldwide population. Digital color fundus images are becoming very important as they help in diagnosing Diabetic Retinopathy. With this fact new image processing techniques can be applied to improve automatic detection of diabetic retinopathy. Segmentation, feature extraction, enhancement, image classification, pattern matching are the major image processing elements in detecting eye diseases . Microaneurysms are the primary sign of DR, therefore necessary preprocessing step for a correct diagnosis to automatically detect the microaneurysms in fundus image is an algorithm. For detecting the microaneurysms in retina images this review paper aims to develop and test a new method.

References
  1. http://www. who. int/mediacentre/factsheets/fs312/en/
  2. https://www. nei. nih. gov/health/diabetic/retinopathy
  3. K. Sangeetha,R. Karthiga,K. Jeyanthi,"Advanced Analysis Of Anatomical Structures Using Hull Based Neuro-Retinal Optic Cup Ellipse Optimization In Glaucoma Diagnosis", 2012 International Conference on Computer Communication and Informatics (ICCCI -2012), Jan 10–12, 2012, Coimbatore, INDIA.
  4. Dipika Gadriye, Gopichand Khandale ,"Neural Network Based Method for the Diagnosis of Diabetic Retinopathy",2014 Sixth International Conference on Computational Intelligence and Communication Networks
  5. http://www. tribuneindia. com/2012/20121115/dun. htm
  6. http://www. iovs. org/content/52/7/4866. full
  7. http://www. who. int/mediacentre/factsheets/fs282/en/
  8. http://www. webmd. com/diabetes/h2t-managing-diabetes-11/diabetes-eye-care
  9. http://www. buchananoptometrists. co. nz/Services/Eye+Conditions/Diabetic+Eye+Disease. html
  10. http://mynotes4usmle. tumblr. com/post/42147240126/diabetc-retinopathy-phases-non-proliferative#. VPBBXfmUdws
  11. Keith P. Thompson, Qiushi S. Ren, Member, IEEE, and Jean-Marie Parel "Therapeutic and Diagnostic Application of Lasers in Ophthalmology".
  12. R. K. Ghanta, W. Drexler, U. Morgner, F. Kartner, F. P Ippen, J. G. Fujimoto, J. S. Schuman, A. Clermontt, S. Bursell, "Ultrahigh resolution retinal imaging with optical coherence tomography",CLEO 2000
  13. Zhuo Zhang, Feng Shou Yin, Jiang Liu, Wing Kee Wong, Ngan Meng Tan, Beng Hai Lee, Jun Cheng, Tien Yin Wong,"ORIGA-light:An Online Retinal Fundus Image Database for Glaucoma Analysis and Research",32nd Annual
  14. International Conference of the IEEE EMBS Buenos Aires, Argentina, August 31 - September 4, 2010. Michael D. Abràmoff, Senior Member, IEEE, Mona K. Garvin, Member, IEEE, and Milan Sonka, Fellow,"Retinal Imaging and Image Analysis", IEEE IEEE Reviews inbiomedical Engineering, VOL. 3, 2010
  15. Arulmozhivarman Pachiyappan,Undurti N Das, Tatavarti VSP Murthy and Rao Tatavarti,"Automated diagnosis of diabetic retinopathy andglaucoma using fundus and OCT images", Pachiyappan et al. Lipids in Health and Disease 2012, 11:73 http://www. lipidworld. com/content/11/1/73
  16. Deepika Vallabha, Dorairaj R, Namuduri K, Thompson H,"Automated Detection and Classification of Vascular Abnormalities in Diabetic Retinopathy"
  17. A. Hoover, Kouznetsoza, V. , Goldbaum, M. (2000) "Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response. " IEEE Transactions on Medical Imaging, 19, 203-210
  18. R. Sivakumar, G. Ravindran,M. Muthayya,S. Lakshminarayanan, and C. U. Velmurughendran, "Diabetic Retinopathy Analysis" Journal of Biomedicine and Biotechnology•2005:1 (2005) 20–27•DOI: 10. 1155/JBB. 2005. 20
  19. Malaya Kumar Nath, and Samarendra Dandapat, "Detection of Changes in Color Fundus Images due to Diabetic Retinopathy", CISP2012|Proceedings|81
  20. K. Narasimhan, V. C. Neha, K. Vijayarekha, "An Efficient Automated System for Detection of Diabetic Retinopathy from Fundus Images Using Support Vector Machine and Bayesian Classifiers", 2012 International Conference on Computing, Electronics and Electrical Technologies [ICCEET]
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