Glaucoma is a multifactorial ocular disease. Ophthalmologists mostly use fundus or optical coherence tomography (OCT) for diagnosis of glaucoma. In this study, a hybrid computer‐aided‐diagnosis (H‐CAD) system has been proposed that integrates both fundus and OCT imaging technologies for reliable diagnosis of glaucoma. Fundus module inspects the outer layer of eye's posterior part. It considers a variety of structural and textural features and makes a decision using support vector machine (SVM). In OCT module, the cup to disc ratio (CDR) has been computed by examining the internal layers of the retina. The cup contour has been extracted from inner‐limiting‐membrane (ILM) layer using a set of novel techniques for the calculation of cup diameter. Similarly, in the disc diameter calculation the retinal‐pigment‐epithelium (RPE) layer termination points have been identified by a number of innovative strategies to locate disc margin. Furthermore, a new criterion based on the mean value of RPE‐layer end points has been proposed for the determination of cup edges. A local‐dataset annotated by four ophthalmologists has been used for evaluation of proposed H‐CAD system. The evaluations and results have shown that the final result of H_CAD system is more trustable than its contemporary automated models.

中文翻译：

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通过关联眼底和 SD-OCT 图像分析改进青光眼的自动检测

青光眼是一种多因素的眼部疾病。眼科医生大多使用眼底或光学相干断层扫描 (OCT) 来诊断青光眼。在这项研究中，提出了一种混合计算机辅助诊断 (H-CAD) 系统，该系统集成了眼底和 OCT 成像技术，用于可靠地诊断青光眼。眼底模块检查眼睛后部的外层。它考虑了各种结构和纹理特征，并使用支持向量机 (SVM) 做出决策。在 OCT 模块中，通过检查视网膜的内层计算了杯盘比 (CDR)。使用一组计算杯径的新技术从内限膜 (ILM) 层中提取了杯状轮廓。相似地，在椎间盘直径计算中，视网膜色素上皮 (RPE) 层终止点已通过许多用于定位椎间盘边缘的创新策略确定。此外，还提出了一种基于 RPE 层端点平均值的新标准，用于确定杯子边缘。由四位眼科医生注释的本地数据集已用于评估提议的 H-CAD 系统。评估和结果表明，H_CAD 系统的最终结果比其同时代的自动化模型更值得信赖。由四位眼科医生注释的本地数据集已用于评估提议的 H-CAD 系统。评估和结果表明，H_CAD 系统的最终结果比其同时代的自动化模型更值得信赖。由四位眼科医生注释的本地数据集已用于评估提议的 H-CAD 系统。评估和结果表明，H_CAD 系统的最终结果比其同时代的自动化模型更值得信赖。