By Topic

Diabetic Retinopathy detection using geometrical techniques related to the underlying physiology

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
C. E. Hann ; Electrical & Computer Engineering, University of Canterbury, New Zealand ; M. Narbot ; M. MacAskill

A computer algorithm is developed using a set of geometrical measures of Diabetic Retinopathy on fundus images. The algorithm is extended from previous work with a focus on accurately ruling out false exudates that are calculated from an initial screening. Sensitivities and specificities are used to measure the effectiveness of maintaining accurate detection of exudates while avoiding false positives with respect to an initial set of possible exudates. A very high specificity of 98.4% and good sensitivity of 88.6% on 12 images shows the potential of the method. These results justify future clinical trials involving Ophthalmologists. An eye tracking procedure that could characterize what regions of the retina that experienced Ophthalmologists focus on is discussed.

Published in:

Image and Vision Computing New Zealand (IVCNZ), 2010 25th International Conference of

Date of Conference:

8-9 Nov. 2010