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Retinal Width Estimation of High-Resolution Fundus Images For Diabetic Retinopathy Detection

机译:高分辨率眼底图像对糖尿病视网膜病变检测的视网膜宽度估计

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Studies have shown some correlations between retinal vessel morphologies and multiple systemic diseases. While this could pave the way to timely diagnosis of such diseases by examining vessels from fundus images, practical application of measuring and quantifying changes in vessel width over time remains a challenge. In this study, we propose a semi-automated estimation method to efficiently summarize vessel width characteristics from fundus images. The method consists of retinal vessel segmentation, optic disc (OD) localization and vessel width parameters estimation. The proposed method is validated using a public database of high-resolution fundus images called HRF, where the significance of obtained vessel width parameters in differentiating the three image groups in the database are analysed. Results indicate that the obtained parameter using the method that summarises the ratio between width of veins to arteries, AVR (Artery-Vein Ratio) can be used to differentiate images from patients with Diabetic Retinopathy against healthy and glaucomatous patients.
机译:研究表明视网膜血管形态和多种全身疾病之间的一些相关性。虽然这可以通过从眼底图像检查血管,测量和量化随时间随着时间的推移的实际应用,测量和量化变化的实际应用仍然是一个挑战的虽然这可以通过检查和量化和量化的变化来及时诊断这些疾病。在这项研究中,我们提出了一种半自动估计方法,以有效地总结从眼底图像的血管宽度特征。该方法包括视网膜血管分割,光盘(OD)定位和血管宽度参数估计。使用称为HRF的高分辨率基底图像的公共数据库验证所提出的方法,其中分析了所获得的血管宽度参数在区分数据库中的三个图像组时的重要性。结果表明,使用该方法所获得的参数总结了静脉宽度与动脉的比率,AVR(动脉静脉比)可用于区分患有糖尿病视网膜病变的患者对健康和青光瘤患者的图像。

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