Decision-making on the existence of soft exudates in diabetic retinopathy. (11th January 2021)

• Record Type: Journal Article
• Authors: Reyana, A.; Krishnaprasath, V.T.; Kautish, Sandeep; Panigrahi, Ranjit; Shaik, Mahaboob
• Is Part Of: International journal of computer applications technology. Volume 64:Number 4(2020)
• Page Start: 375
• Page End: 381
• Publication Date: 2021-01-11
• Subjects: diabetic -- retinopathy -- homogeneity -- segmentation -- blindness; Technology -- Data processing -- Periodicals; 620.00285
• Languages: English
• ISSNs: 0952-8091

Abstract

Medical image analysis is recognised to be the most important research area for diagnosis and screening of a wide range of medical problems. The commonly discussed diabetic retinopathy has become a vital factor of serious eye diseases leading to eye blindness. Diabetes mellitus, a remarkable metabolic disorder, is rapidly increasing health threats worldwide. The major cause of Diabetic Retinopathy (DR) is the increase in blood insulin levels. The DR lesion thresholds inferred have protective effects and have no benefits for patients. From the fundus images the prediction of micro-aneurysms is still the major challenge. Micro-aneurysms formulation is the initial sign of DR to reduce the risk of non-proliferated DR. With this in mind, there exists a need for a diagnostic system, for early detection of DR to be used by the ophthalmologist to identify different types of lesions like haemorrhages and exudates. This paper presents a new approach to detect and classify exudates in coloured retinal images, eliminating the replication of exudates by removing the optic disc region. Our research aimed to extend the current knowledge of several image processing techniques including image enhancement, segmentation, classification, and registration for early diagnosis preventing visual impairment and blindness.