Tortuosity of corneal nerve fibers acquired by in vivo Confocal Microscopy (IVCM) are closely correlated to numerous diseases. While tortuosity assessment has conventionally been conducted through labor‐intensive manual evaluation, this warrants an automated and objective tortuosity assessment of curvilinear structures. This paper proposes a method that extracts the image‐level features for corneal nerve tortuosity grading.

中文翻译：

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通过基于加权平均的有序特征提取对角膜曲折度进行分级。

通过体内共聚焦显微镜（IVCM）获得的角膜神经纤维的曲折度与多种疾病密切相关。传统上，曲折度评估是通过劳动强度大的人工评估来进行的，但这需要对曲线结构进行自动，客观的曲折度评估。本文提出了一种提取角膜神经弯曲度图像级特征的方法。