Automatic Detection of Non-Proliferative Diabetic Retinopathy Using Fundus Images
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 6
Abstract
Abstract: To diagnosis of Diabetic Retinopathy (DR) it is the prime cause of blindness in the working age population of the world. Detection method is proposed to detect dark or red lesions such as microaneurysms and hemorrhages in fundus images.Developed during this work, this first is for collection of lesion data information and was used by the ophthalmologist in marking images for database while the automatic diagnosing and displaying the diagnosis result in a more friendly user interface and is as shown in chapter three of this report. The primary aim of this project is to develop a system that will be able to identify patients with BDR and PDR from either colour image or grey level image obtained from the retina of the patient. Thealgorithm was tested fundus images. The Operating Characteristics (ROC) was determined for red spot lesion and bleeding, while cross over points were only detected leaving further classification as part of future workneeded to complete this global project. Sensitivity and specificity was calculated for the algorithm is given respectively as 96.3% and 95.1%.
Authors and Affiliations
Raju Maher , Sangramsing Kayte , Suvarnsing Bhable , Jaypalsing Kayte
Keywords
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