Call for Paper - January 2024 Edition
IJCA solicits original research papers for the January 2024 Edition. Last date of manuscript submission is December 20, 2023. Read More

Automatic Detection of Diabetic Retinopathy- A Technological Breakthrough

IJCA Proceedings on International Conference on Advancements in Engineering and Technology
© 2015 by IJCA Journal
ICAET 2015 - Number 6
Year of Publication: 2015
Deepti Malhotra
Alpana Agarwal

Chinar, Deepti Malhotra and Alpana Agarwal. Article: Automatic Detection of Diabetic Retinopathy- A Technological Breakthrough. IJCA Proceedings on International Conference on Advancements in Engineering and Technology ICAET 2015(6):22-25, August 2015. Full text available. BibTeX

	author = {Chinar and Deepti Malhotra and and Alpana Agarwal},
	title = {Article: Automatic Detection of Diabetic Retinopathy- A Technological Breakthrough},
	journal = {IJCA Proceedings on International Conference on Advancements in Engineering and Technology},
	year = {2015},
	volume = {ICAET 2015},
	number = {6},
	pages = {22-25},
	month = {August},
	note = {Full text available}


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.


  • http://www. who. int/mediacentre/factsheets/fs312/en/
  • https://www. nei. nih. gov/health/diabetic/retinopathy
  • 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.
  • Dipika Gadriye, Gopichand Khandale ,"Neural Network Based Method for the Diagnosis of Diabetic Retinopathy",2014 Sixth International Conference on Computational Intelligence and Communication Networks
  • http://www. tribuneindia. com/2012/20121115/dun. htm
  • http://www. iovs. org/content/52/7/4866. full
  • http://www. who. int/mediacentre/factsheets/fs282/en/
  • http://www. webmd. com/diabetes/h2t-managing-diabetes-11/diabetes-eye-care
  • http://www. buchananoptometrists. co. nz/Services/Eye+Conditions/Diabetic+Eye+Disease. html
  • http://mynotes4usmle. tumblr. com/post/42147240126/diabetc-retinopathy-phases-non-proliferative#. VPBBXfmUdws
  • Keith P. Thompson, Qiushi S. Ren, Member, IEEE, and Jean-Marie Parel "Therapeutic and Diagnostic Application of Lasers in Ophthalmology".
  • 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
  • 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
  • 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
  • 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
  • Deepika Vallabha, Dorairaj R, Namuduri K, Thompson H,"Automated Detection and Classification of Vascular Abnormalities in Diabetic Retinopathy"
  • 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
  • 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
  • Malaya Kumar Nath, and Samarendra Dandapat, "Detection of Changes in Color Fundus Images due to Diabetic Retinopathy", CISP2012|Proceedings|81
  • 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]