Optical Coherence Tomography (OCT) has become a relevant image modality in the ophthalmological clinical practice, as it offers a detailed representation of the eye fundus. This medical imaging modality is currently one of the main means of identification and characterization of intraretinal cystoid regions, a crucial task in the diagnosis of exudative macular disease or macular edema, among the main causes of blindness in developed countries. This work presents an exhaustive analysis of intensity and texture-based descriptors for its identification and classification, using a complete set of 510 texture features, three state-of-the-art feature selection strategies, and seven representative classifier strategies. The methodology validation and the analysis were performed using an image dataset of 83 OCT scans. From these images, 1609 samples were extracted from both cystoid and non-cystoid regions. The different tested configurations provided satisfactory results, reaching a mean cross-validation test accuracy of 92.69%. The most promising feature categories identified for the issue were the Gabor filters, the Histogram of Oriented Gradients (HOG), the Gray-Level Run-Length matrix (GLRL), and the Laws' texture filters (LAWS), being consistently and considerably selected along all feature selector algorithms in the top positions of different relevance rankings.

中文翻译：

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光学相干断层扫描图像中的视网膜内液样特征。

光学相干断层扫描（OCT）已成为眼科临床实践中的一种相关图像形式，因为它提供了眼底的详细表示。这种医学成像方式目前是鉴定和表征视网膜内囊样区域的主要手段之一，这是在发达国家导致失明的主要原因中，渗出性黄斑疾病或黄斑水肿的诊断的关键任务。这项工作使用一套完整的510个纹理特征，三种最新的特征选择策略以及七个代表性的分类器策略，对基于强度和纹理的描述符进行了详尽的分析，以对其进行识别和分类。使用83个OCT扫描的图像数据集进行方法论验证和分析。从这些图像中 从囊状和非囊状区域提取了1609个样品。不同的测试配置提供了令人满意的结果，达到了平均交叉验证测试准确度为92.69％。为该问题确定的最有前途的特征类别是Gabor滤镜，定向梯度直方图（HOG），灰度级运行长度矩阵（GLRL）和Laws的纹理滤镜（LAWS），它们经过一致且相当多的选择沿所有相关性选择器算法位于不同相关性排名的顶部位置。