An Automated Detection of Microaneursym to facilitate better Diagnosis of Diabetic Retinopathy  

Shanthi¹, R. S. Sabeenian² and A. Surendar³

¹Sr. G/ECE Member/SONA SIPRO Sona College of Technology.

²ECE Centre Head/SONA SIPRO Sona College of Technology.

³Department of ECE, Vignan’s University.

DOI : http://dx.doi.org/10.13005/bbra/2468

ABSTRACT: Diabetic retinopathy is the commonest cause of vision loss in most of the cases. Microaneursyms are small balloon like swellings that appears in the blood vessels of retina. Appearance of microaneursym indicates the first stage of diabetic retinopathy. Many researchers have actively involved in detecting the micro aneurysms in order to diagnose the disease as early as possible to prevent vision loss. This will further assist the ophthalmologists in investigating and treating the disease more efficiently. This review focuses on automatic detection of micro aneurysm. The standard database such as STARE, DRIVE, DIARETDB1, DIARETDB2, Retinopathy on line challenge(ROC) data base and private database such as Messidor, Moorefield’s, Mashhad were used by the researchers for testing the algorithm. The performance parameters like Sensitivity, Specificity, Precision, Accuracy, Area under Curve, Competition Performance Measure were used to measure the performance of various algorithms.

KEYWORDS: Competition; Microaneursyms; retinopathy;  various

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