计算机黄斑水肿检测的OCT图像:综述

S. C. Athira, Reena M. Roy
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引用次数: 3

摘要

这篇文章回顾了现有的方法,用于计算机检测黄斑水肿(ME),这是大多数人失明的主要原因之一。当黄斑附近视网膜血管破裂导致异常渗漏和液体积聚时,就会发生黄斑病变。任何损害视网膜内血管的疾病都可能引起视网膜病变。肌痛性脊髓炎的症状在早期不明显,在晚期很难诊断。光学相干断层扫描(OCT)是现代眼科检查方法,可提供视网膜层的横截面位置,可用于早期检测ME。采用不同的算法从OCT图像中检测ME。本文的重点是确定一种计算机化算法,该算法可以在早期阶段以很高的准确性检测ME。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computerized macular edema detection using OCT images: A review
This article reviews the existing approaches that are used for computerized detection of Macular Edema (ME), which is one of the leading causes of blindness among majority. It takes place when there is unusual leakage and accumulation of fluid inside the macula from broken blood vessels within the nearby retina. Any disorder that damages blood vessels inside retina can reason. The signs of ME are not apparent in the early stages and it is difficult to diagnose at its advanced stages. Optical coherence tomography (OCT) is the modern day eye exam approach which gives cross sectional location of retinal layers, and can be utilized for the earlier detection of ME. Different algorithms were implemented to detect ME from OCT images. This article focuses on identifying a computerized algorithm that could detect ME at earlier stages with great level of accuracy.
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