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首页> 外文期刊>Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice >Automated segmentation of optic disc region on retinal fundus photographs: Comparison of contour modeling and pixel classification methods.
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Automated segmentation of optic disc region on retinal fundus photographs: Comparison of contour modeling and pixel classification methods.

机译：视网膜眼底照片上视盘区域的自动分割：轮廓建模和像素分类方法的比较。

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摘要

The automatic determination of the optic disc area in retinal fundus images can be useful for calculation of the cup-to-disc (CD) ratio in the glaucoma screening. We compared three different methods that employed active contour model (ACM), fuzzy c-mean (FCM) clustering, and artificial neural network (ANN) for the segmentation of the optic disc regions. The results of these methods were evaluated using new databases that included the images captured by different camera systems. The average measures of overlap between the disc regions determined by an ophthalmologist and by using the ACM (0.88 and 0.87 for two test datasets) and ANN (0.88 and 0.89) methods were slightly higher than that by using FCM (0.86 and 0.86) method. These results on the unknown datasets were comparable with those of the resubstitution test; this indicates the generalizability of these methods. The differences in the vertical diameters, which are often used for CD ratio calculation, determined by the proposed methods and based on the ophthalmologist's outlines were even smaller than those in the case of the measure of overlap. The proposed methods can be useful for automatic determination of CD ratios.
机译：视网膜眼底图像中视盘区域的自动确定可用于计算青光眼筛查中的视盘比（CD）。我们比较了三种采用主动轮廓模型（ACM），模糊c均值（FCM）聚类和人工神经网络（ANN）进行视盘区域分割的方法。使用包括不同相机系统捕获的图像的新数据库评估了这些方法的结果。由眼科医生确定的，使用ACM（两个测试数据集的0.88和0.87）和ANN（0.88和0.89）方法确定的椎间盘区域之间重叠的平均量度略高于使用FCM（0.86和0.86）方法的平均量度。在未知数据集上的这些结果与重新替代测试的结果相当;这表明这些方法具有普遍性。通过提议的方法并根据眼科医生的轮廓确定的，通常用于CD比计算的垂直直径的差异甚至比重叠测量的差异小。所提出的方法可用于自动确定CD比。

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