Microaneurysm Techniques for Diabetic Patients

Diabetic Retinopathy (DR) is a serious eye disease that originates from diabetes mellitus and is the most common cause of blindness in the developed countries. Early treatment can prevent patients to become affected from this condition or at least the progression of DR can be slowed down. The proposed system is used to detect microaneurysm (MA) in eye retinal images. An ensemble-based microaneurysm detector proved its high efficiency. The experimental results show that the proposed ensemble based MA detector outperforms the current individual approaches in MA detection. It has been also proven that the framework is high flexibility in different datasets. The selection of the appropriate threshold is also an important issue for our detector to provide sufficient sensitivity and specificity rate. The System provides a friendly environment to deal with images. An effective MA detector based on the combination of preprocessing methods and candidate extractors is used. An ensemble creation framework selects the best combination. An exhaustive quantitative analysis is also given to prove the superiority of our approach over individual algorithms. It also investigates the grading performance of this method, which is proven to be competitive with other screening system.