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Median Filtering for Optic Disc Segmentation in Retinal Image

机译：视网膜图像中视盘分割的中值滤波

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One of diabetic complications is vision disturbance known as Diabetic Retinopathy (DR). Early detection becomes vital to prevent the development of DR by routine examination of the patient's eyes. This study developed a software application that can automatically segment the image of the eye retina, expected to assist eye specialists in performing DR detection using computer aids. The system implementation uses Visual C# 2010 software with 36 retinal images of the Drishti-GS1 dataset. The clinical features of the retina that can be used to detect DR are microaneurysms, hard and soft exudates, hemorrhages, neovascularization, and macular edema. Optic Disc (OD) segmentation is an important step to detect these features. This study aimed to detect OD using red channel, inversion, contrast enhancement, median filtering, and thresholding. The final result of the OD segmentation was validated by measuring the positive predictive value (PPV). The result of PPV for the detection of OD to ground truth image reached 90.924%.
机译：糖尿病并发症之一是被称为糖尿病性视网膜病（DR）的视力障碍。早期检测对于通过常规检查患者眼睛来预防DR的发展至关重要。这项研究开发了一种软件应用程序，该程序可以自动分割眼睛视网膜的图像，有望帮助眼科专家使用计算机辅助工具执行DR检测。该系统实现使用带有Drishti-GS1数据集的36个视网膜图像的Visual C＃2010软件。可用于检测DR的视网膜的临床特征是微动脉瘤，硬性和软性渗出液，出血，新生血管形成和黄斑水肿。光盘（OD）分段是检测这些功能的重要步骤。这项研究旨在使用红色通道，反演，对比度增强，中值滤波和阈值检测来检测OD。 OD分割的最终结果通过测量阳性预测值（PPV）进行了验证。 PPV对地面真相图像的OD检测结果达到90.924％。

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