By Topic

“Visual ophthalmologist” an automated system for classification of retinal damage

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
$31 $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

2 Author(s)
Aleynikov, S. ; Dept. of Biomed. Eng., Rutgers Univ., Piscataway, NJ, USA ; Micheli-Tzanakou, E.

The objective of this research is to provide an ophthalmologist with a helpful system, capable of classifying a degree of patients' retinal haemorrhage. The system is composed of four modules: 1) data acquisition module, 2) image database module, 3) image processing module, and 4) image classification module. The system was trained with a modular neural network on a set of 25 images, and tested on a set of 160 images. A training performance of greater than 95% was achieved. The classifying part of the system showed 79% recognition accuracy. Since the testing images were taken from independent sources, we assume that the system should also provide an accurate classification of other image types

Published in:

Neural Networks,1997., International Conference on  (Volume:4 )

Date of Conference:

9-12 Jun 1997