首页> 外文会议>32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society >Analysis of foveal avascular zone in colour fundus images for grading of diabetic retinopathy severity
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Analysis of foveal avascular zone in colour fundus images for grading of diabetic retinopathy severity

机译:彩色眼底图像中的中心凹无血管区对糖尿病性视网膜病变严重程度的分级分析

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Diabetic retinopathy (DR) is a sight threatening complication due to diabetes mellitus that affects the retina. At present, the classification of DR is based on the International Clinical Diabetic Retinopathy Disease Severity. In this paper, FAZ enlargement with DR progression is investigated to enable a new and an effective grading protocol DR severity in an observational clinical study. The performance of a computerised DR monitoring and grading system that digitally analyses colour fundus image to measure the enlargement of FAZ and grade DR is evaluated. The range of FAZ area is optimised to accurately determine DR severity stage and progression stages using a Gaussian Bayes classifier. The system achieves high accuracies of above 96%, sensitivities higher than 88% and specificities higher than 96%, in grading of DR severity. In particular, high sensitivity (100%), specificity (>98%) and accuracy (99%) values are obtained for No DR (normal) and Severe NPDR/PDR stages. The system performance indicates that the DR system is suitable for early detection of DR and for effective treatment of severe cases.
机译:糖尿病性视网膜病(DR)是一种会影响视力的并发症,原因是糖尿病会影响视网膜。目前,DR的分类基于国际糖尿病性视网膜病变疾病的严重程度。在本文中,研究了随着DR进展而扩大的FAZ,以在观察性临床研究中实现新的有效的DR严重性分级方案。评估了对数字化眼底图像进行数字分析以测量FAZ和DR级的计算机化DR监测和分级系统的性能。使用高斯贝叶斯分类器对FAZ区域范围进行了优化,以准确确定DR严重程度阶段和进展阶段。在DR严重性分级中,该系统可实现96%以上的高准确度,灵敏度高于88%以及特异性高于96%。特别是,对于No DR(正常)阶段和NPDR / PDR严重阶段,可获得高灵敏度(100%),特异性(> 98%)和准确性(99%)值。系统性能表明,DR系统适用于DR的早期检测和严重病例的有效治疗。

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