Automatic Detection And Grading Of Severity Level In Exudative Maculopathy

Siddalingaswamy, PC and Prabhu, G K and Jain, Vikram (2011) Automatic Detection And Grading Of Severity Level In Exudative Maculopathy. Biomedical Engineering: Applications, Basis and Communications, 23 (3). pp. 173-179. ISSN 1793-7132

[img] PDF
S1016237211002608.pdf - Published Version
Restricted to Registered users only

Download (379kB) | Request a copy

Abstract

Diabetic maculopathy is one of the complications of diabetes mellitus that is considered as one of the major cause of vision loss among people around the world. Compulsory screening of eye will help to identify the maculopathy at early stage and reduce the risk of severe vision loss. A new automated method for the detection and grading of diabetic maculopathy severity level without any manual intervention is presented. Based on the location of exudates in marked macular region the severity level is classified into mild, moderate and severe. Digital color retinal images at different levels of maculopathy were used to evaluate the method. An overall sensitivity of 95.6% and specificity of 96.15% were achieved by the method.

Item Type: Article
Uncontrolled Keywords: Diabetic maculopathy; Exudates; Macula; Retina
Subjects: Engineering > MIT Manipal > Biomedical
Engineering > MIT Manipal > Computer Science and Engineering
Medicine > KMC Manipal > Ophthalmology
Depositing User: MIT Library
Date Deposited: 22 Mar 2013 08:41
Last Modified: 22 Mar 2013 08:41
URI: http://eprints.manipal.edu/id/eprint/79237

Actions (login required)

View Item View Item