Skip to main content
ADVANCED TOPICS IN ELECTRICAL ENGINEERING – ATEE 2017

Papers Proceedings »

A Neural-Network Based Approach for Exudates Evaluation in Retinal Images

In this paper we propose a new method for the detection and evaluation of exudates in retinal images. In the learning phase we focus on selecting efficient features that can uniquely identify the exudates. In this process we develop a neural network for image processing. We then further extend and train the neural network to detect and evaluate the exudates. The efficiency of the proposed method is compared with other similar researches, improvements in accuracy being observed.

Author(s):

Traian CARAMIHALE    
Politehnica University of Bucharest
Romania

Dan POPESCU    
UPB
Romania

Loretta ICHIM    
UPB
Romania

 

Powered by OpenConf®
Copyright ©2002-2016 Zakon Group LLC