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糖尿病视网膜病变分析

Diabetic Retinopathy Analysis.

作者信息

Sivakumar R, Ravindran G, Muthayya M, Lakshminarayanan S, Velmurughendran C U

出版信息

J Biomed Biotechnol. 2005;2005(1):20-27. doi: 10.1155/JBB.2005.20.

Abstract

Diabetic retinopathy is one of the common complications of diabetes. Unfortunately, in many cases the patient is not aware of any symptoms until it is too late for effective treatment. Through analysis of evoked potential response of the retina, the optical nerve, and the optical brain center, a way will be paved for early diagnosis of diabetic retinopathy and prognosis during the treatment process. In this paper, we present an artificial-neural-network-based method to classify diabetic retinopathy subjects according to changes in visual evoked potential spectral components and an anatomically realistic computer model of the human eye under normal and retinopathy conditions in a virtual environment using 3D Max Studio and Windows Movie Maker.

摘要

糖尿病性视网膜病变是糖尿病常见的并发症之一。不幸的是,在许多情况下,患者直到病情发展到无法进行有效治疗时才意识到任何症状。通过分析视网膜、视神经和视脑中枢的诱发电位反应,将为糖尿病性视网膜病变的早期诊断及治疗过程中的预后评估铺平道路。在本文中,我们提出了一种基于人工神经网络的方法,根据视觉诱发电位频谱成分的变化对糖尿病性视网膜病变患者进行分类,并使用3D Max Studio和Windows Movie Maker在虚拟环境中构建了正常和视网膜病变条件下的人眼解剖逼真计算机模型。

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