Automated Grading of Diabetic Macular Edema Using Color Retinal Photographs

Author:

Zubair Muhammad1,Ahmad Jawad2,Alqahtani Fehaid3,Khan Fawad4,Shah Syed Aziz5,Abbasi Qammer H.6,Jan Sana Ullah2

Affiliation:

1. University of Central Punjab,Faculty of Information Technology,Lahore,Pakistan

2. School of Computing, Edinburgh Napier University,Edinburgh,UK

3. King Fahad Naval Academy,Department of Computer Science,Al Jubail,Saudi Arabia,35512

4. National University of Science & Technology,Department of Information Security,Islamabad,Pakistan

5. Healthcare Coventry University,Centre for Intelligent,Coventry,UK

6. James Watt School of Engineering, University of Glasgow,Glasgow,UK

Publisher

IEEE

Reference30 articles.

1. A novel image encryption scheme based on orthogonal matrix, skew tent map, and XOR operation

2. Application of tele-ophthalmology in remote diagnosis and management of adnexal and orbital diseases;verma;Indian Journal of Ophthalmology,2009

3. Automated segmentation of hard exudates using dynamic thresholding to detect diabetic retinopathy in retinal photographs;zubair;J Multimed Process Technol,2016

4. Automated detection of optic disc for the analysis of retina using color fundus image;zubair;2013 IEEE International Conference on Signal and Image Processing Applications,2013

5. Detection of optic disc center and macula using spatial information of optic cup

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