
A Novel Approach for Detection of Optic Disc and Lesion Location for Screening Diabetic Retinopathy
Publication year - 2021
Publication title -
international journal of healthcare information systems and informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.266
H-Index - 13
eISSN - 1555-340X
pISSN - 1555-3396
DOI - 10.4018/ijhisi.20211001oa12
Subject(s) - diabetic retinopathy , retinopathy , medicine , retinal , lesion , identification (biology) , ophthalmology , computer science , artificial intelligence , diabetes mellitus , radiology , pathology , biology , endocrinology , botany
Diabetic Retinopathy is not typically perceivable in diabetic patients at the initial stage. Their first signs, like micro-aneurysms, often go unnoticed in preliminary testing by specialists. Additionally, its presence is difficult to detect as there are other pathologies that may also lead to induce similar signs and symptoms. Until the detection of the presence of exudates, a specialist cannot simply deduce the presence of diabetic retinopathy. This paper presents a method to assist in the identification and differentiation of exudates on colour retinal images based on a variety of k-nearest neighbour filters. The proposed method proved to be a rational approach to detect bright lesions with sufficient certainty, yielding a possible injury with a specificity of 99%.