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.