Intensity Based Optic Disk Detection for Automatic Diabetic Retinopathy

Trisha, I. Ali
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引用次数: 5

Abstract

In the past few years, there has been an exponential growth of Diabetes which is also known as the silent killer [1] and become a major concern for health in our society [2]. The ophthalmologists are looking for methods through which they can easily and automatically detect whether a person is affected by Diabetes or not, instead of spending extensive time on finding it out manually [3]. If they are able to have an early-stage detection of this disease, they can control its severity to a great extent [5]–[8]. The eye can be a vital organ for the detection of diabetes since it is among the fundamental organs which get affected at the earliest stage [9]–[15]. Therefore, analyzing the retina of the eye can act as a gateway for automatically detecting Diabetic Retinopathy (DR). Therefore, we have tried to provide a technique via which, we can effortlessly and efficiently find out whether a person is affected by diabetes or not so that the patient can start the further treatments without wasting their time by going through long and tedious processes of various manual tests for detection of DR [16]–[20]. In order to detect DR, it is important to pinpoint three important regions of the eye. In this paper, we have tried to localize these three important regions of retina that is the Outer Boundary of Retina, the Optic Disk, and the Macula.
基于强度的视盘检测在糖尿病视网膜病变中的应用
近年来,糖尿病呈指数级增长,被称为“无声杀手”[1],已成为社会健康的一大问题[2]。眼科医生正在寻找一种方法,通过这种方法,他们可以轻松、自动地检测一个人是否患有糖尿病,而不是花费大量的时间手工发现[3]。如果他们能够在早期发现这种疾病,他们可以在很大程度上控制其严重程度[5]-[8]。由于眼睛是糖尿病发病最早的基本器官之一[9]-[15],因此对于糖尿病的检测来说,眼睛是一个至关重要的器官。因此,分析眼睛视网膜可以作为自动检测糖尿病视网膜病变(DR)的门户。因此,我们试图提供一种技术,通过这种技术,我们可以毫不费力、高效地发现一个人是否患有糖尿病,从而使患者可以开始进一步的治疗,而不必浪费时间,通过各种繁琐的人工检测DR的过程[16]-[20]。为了检测DR,确定眼睛的三个重要区域是很重要的。在本文中,我们试图定位视网膜的三个重要区域,即视网膜外边界、视盘和黄斑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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