Optic Disc and Blood Vessels Screening in Diabetes Mellitus using Otsuas Method

Ms. Jyoti D. Pati; Dr. S.R. Chaudhari

Optic Disc and Blood Vessels Screening in Diabetes Mellitus using Otsuas Method

Ms. Jyoti D. Pati * § M.Sc., M.Phil, B.ed. Ph.D.

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Dr. S.R. Chaudhari

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§ Pratibha Senior College, Pune, Maharashtra, India.

Optic Disc and Blood Vessels Screening in Diabetes Mellitus using Otsuas Method

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Abstract

Diabetes Mellitus (DM) has type-1 & type 2. So in diabeties type-2 is very severe disease which creates complications and effect on various part of body. Most sensitive part of body is Eye which is affected by DM responsible in progression of Diabetic Retinopathy (DR). DR is a slowly effects on eye & come to focus when the changes on the retina have progressed to a level at which treatment turns complicate, so an early diagnosis and referral to an ophthalmologist or optometrist for the management of this disease can prevent 98% of severe visual loss. The aim of this work is to automatically identify Diabetic Retinopathy (DR), and Background Retinopathy using fundus images. Our results show a classification accuracy of 92%, with sensitivity and specifity of 95%.

References

9 Cites in Article

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1. Robert Frank (2004). Diabetic Retinopathy. New England Journal of Medicine, 350(1), 48-58.
2. Nobuyuki Otsu (1979). A Threshold Selection Method from Gray-Level Histograms. IEEE Transactions on Systems, Man, and Cybernetics, 9(1), 62-66.
3. Bill Silver (2000). An Introduction to Digital Image Processing. An Introduction to Digital Image Processing
4. R Mr,Dr Vijayamadheswaran,Mr Arthanari,Sivakumar Detection of Diabetic Retinopathy using Radial Basis Function. Detection of Diabetic Retinopathy using Radial Basis Function
5. L Ma,T Tan,Y Wang,D Zhang (2003). Personal Recognition Based on Iris Texture Analysis. IEEE Trans. Pattern Analysis and Machine Intelligence, 25(12), 1519-1533.
6. X Zhu,Y Liu,X Ming,Q Cui (2004). A Quality Evaluation Method of Iris Images Sequence Based on Wavelet Coeffi-cients in 'Region of Interest. Proc. of the 4th Int. Conf. on Computer and Information Technology, 24-27.
7. Big Fang,Hsumong Wynne,Li Lee On the Detection of Retinal Vessels in Fundus Images. On the Detection of Retinal Vessels in Fundus Images
8. M Iqbal,A Aibinu,N Gubbal,Khan (2006). Automatic Diagnosis of Diabetic Retinopathy using Fundus Images. Automatic Diagnosis of Diabetic Retinopathy using Fundus Images
9. Jing Wan,Xiaofu He,Pengfei Shi (2007). An Iris Image Quality Assessment Method Based on Laplacian of Gaussian Operation. Institute of Image Processing and Pattern Recognition, MVA2007 IAPR Conference on Machine Vision Applications

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Ms. Jyoti D. Pati, Dr. S.R. Chaudhari. 2016. "Optic Disc and Blood Vessels Screening in Diabetes Mellitus using Otsuas Method". Global Journal of Medical Research - D: Radiology, Diagnostic GJMR-D Volume 16 (GJMR Volume 16 Issue D1).

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GJMR Volume 16 Issue D1

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Journal Specifications

Crossref Journal DOI 10.17406/gjmr

Print ISSN 0975-5888

e-ISSN 2249-4618

Keywords

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Classification

GJMR-D Classification NLMC Code: WK 810

Submission ReceivedDecember 13, 2015
Peer Review Double Blind
Handling Editor
Accepted January 5, 2016
Published January 15, 2016

Version of record

v1.2

Issue date

September 20, 2016

Language

English

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Article Matrices

Total Score: 147

Country: India

Subject: Global Journal of Medical Research

Authors: Ms. Jyoti D. Patil, Dr. S.R. Chaudhari (PhD/Dr. count: 1)

View Count (all-time): 226

Total Views (Real + Logic): 1028

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Publish Date: 2016 01, Fri

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