Abstract
Diabetic Retinopathy is considered as a root cause of vision loss for diabetic patients. For Diabetic patients, regular check-up and screening is required. At times lesions are not visible through fundus image, Dr. Recommends angiography. However Angiography is not advisable in certain conditions like if patient is of very old age, if patient is a pregnant woman, if patient is a child, if patient has some critical disease or if patient has undergone some major surgery. In this paper we propose a system Automated Diabetic Retinopathy Detection System (ADRDS) through which fundus image will be processed in such a way that it will have the similar quality to that of angiogram where lesions are clearly visible. It will also identify the Optic Disk (OD) and extract blood vessels because pattern of these blood vessels near optic disc region plays an important role in diagnosis for eye disease. We have passed 100 images in the system collected from Dr. Manoj Saswade and Dr. Neha Deshpande and got true positive rate of 100%, false positive rate of 3%, and accuracy score is 0.9902.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Silberman, N., et al.: Case for Automated Detection of Diabetic Retinopathy. In: Association for the Advancement of Artificial Intelligence (2010), www.aaai.org
(ROC Curve), http://www.who.int/mediacentre/factsheets/fs312/en/
Patwari, M.B., Manza, R.R., Saswade, M., Deshpande, N.: A Critical Review of Expert Systems for Detection and Diagnosis of Diabetic Retinopathy. Ciit International Journal of Fuzzy Systems (February 2012), DOI: FS022012001 ISSN 0974-9721, 0974-9608 (IF 0.441)
(Angiography), http://www.webmd.com/eye-health/eye-angiogram?page=2
Kanski, J.J.: Clinical Ophthalmology: A Systematic Approach, 3rd edn.
Gonzalez, R.C., Woods, R.E.: Digital Image processing. Pearson Education, New Delhi (2002)
Zhu, X., Rangayyan, R.M., Ells, A.L.: Digital Image Processing for Ophthalmology: Detection of the Optic Nerve Head
Aquino, A., et al.: Automated Optic Disc Detection in Retinal Images of Patients with Diabetic Retinopathy and Risk of Macular Edema. International Journal of Biological and Life Sciences 8(2) (2012)
Rangayyan, R.M., et al.: Detection of the Optic Nerve Head in Fundus Images of the Retina with Gabor Filters and Phase Portrait Analysis. Journal of Digital Imaging 23(4), 438–453 (2010)
Rajput, Y.M., Manza, R.R., Patwari, M.B., Deshpande, N.: RetinalOpticDisc Detection Using Speed Up Robust Features. In: National Conference on Computer & Management Science (CMS-2013), RadhaiMahavidyalaya, Auarngabad- 431003(MS) India, April 25-26 (2013)
Jiméneza, S., Alemanya, P., et al.: Automatic detection of vessels in color fundus images. Sociedad Española de Oftalmología (2009)
Reza, A.W., et al.: Diabetic Retinopathy: A Quadtree Based Blood Vessel Detection Algorithm Using RGB Components in Fundus Images. Received: Published by Elsevier España, s.larchsocespoftalmol 85(3), 103–109 (2010), Media, LLC 2007
Vijayachitra, S., et al.: Analysis Of Diabetic Retinopathy Images Using Blood Vessel Extraction. International Journal of Advanced Engineering Research and Studies E-ISSN2249–8974 IJAERS/Vol. I/ Issue II/January-March, 2012/89-91 Research Article (2012)
Rajput, Y.M., Manza, R.R., Patwari, M.B., Deshpande, N.: Third National Conference on Advances in Computing(NCAC-2013). In: Third National Conference on Advances in Computing(NCAC-2013), March 5–6, North Maharashtra University, Jalgaon (2013)
Akram, U.M., et al.: Automated Detection of Dark and Bright Lesions in Retinal Images for Early Detection of Diabetic Retinopathy. In: Received: 1 August 2011 / Accepted: 25 October 2011 / Published online: 17. Springer Science+Business Media, LLC (November 2011)
Poddar, S., et al.: Quantitative Clinical Marker Extraction from Colour Fundus Images for Non-Proliferative Diabetic Retinopathy Grading. In: International Conference on Image Information Processing (2011)
(ICIIP 2011) (ICIIP 2011) 978-1-61284-861-7/11/$26.00 ©2011 IEEE
Singh, N., et al.: Automated Early Detection of Diabetic Retinopathy Using Image Analysis Techniques. International Journal of Computer Applications 8(2), 975–8887 (2010)
(Blood Vessels Diameter), http://www.vassarstats.net/roc1.html
Patwari, M.B., Manza, R.R., Rajput, Y.M., Saswade, M., Deshpande, N.K.: Review on Detection and Classification of Diabetic Retinopathy Lesions Using Image Processing Techniques (IJERT) 2(10) (October 2013) ISSN: 2278-0181
Patwari, M.B., Manza, R.R., Rajput, Y.M., Deshpande, N.K., Saswade, M.: Extraction of the Retinal Blood Vessels and Detection of the Bifurcation Points. IJCA (September 18, 2013) ISBN : 973-93-80877-61-7
Hatanaka, Y.: Automated microaneurysm detection method based on double-ring filter and feature analysis in retinal fundus images. 978-1-4673-2051-1/12 IEEE
SujithKumar, S.B., et al.: Automatic Detection of Diabetic Retinopathy in Non- dilated RGB Retinal Fundus Images. International Journal of Computer Applications 47(19), 888–975 (2012)
Reza, A.W., et al.: Diagnosis of Diabetic Retinopathy: Automatic Extraction of Optic Disc and Exudates from Retinal Images using Marker-controlled Watershed Transformation. J. Med. Syst., doi:10.1007/s10916-009-9426-y
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Manjiri, P., Ramesh, M., Yogesh, R., Manoj, S., Neha, D. (2015). Automated Localization of Optic Disk, Detection of Microaneurysms and Extraction of Blood Vessels to Bypass Angiography. In: Satapathy, S., Biswal, B., Udgata, S., Mandal, J. (eds) Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014. Advances in Intelligent Systems and Computing, vol 327. Springer, Cham. https://doi.org/10.1007/978-3-319-11933-5_65
Download citation
DOI: https://doi.org/10.1007/978-3-319-11933-5_65
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11932-8
Online ISBN: 978-3-319-11933-5
eBook Packages: EngineeringEngineering (R0)