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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 >A method for corneal nerves automatic segmentation and morphometric analysis
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A method for corneal nerves automatic segmentation and morphometric analysis

机译：一种角膜神经自动分割和形态计量分析的方法

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摘要

The segmentation and morphometric analysis of corneal sub-basal nerves, from corneal confocal microscopy images, has gained recently an increased interest. This interest arises from the possibility of using changes in these nerves as the basis of a simple and non-invasive method for early detection and follow-up of peripheral diabetic neuropathy, a major cause of chronic disability in diabetic patients. Here, we propose one method for automatic segmentation and analysis of corneal nerves from images obtained in vivo through corneal confocal microscopy. The method is capable of segmenting corneal nerves, with sensitivity near 90% and a percentage of false recognitions with an average of 5.3%. The nerves tortuosity was calculated and shows statistically significant differences between healthy controls and diabetic individuals, in accordance to what is reported in the literature.
机译：近来，来自角膜共聚焦显微镜图像的角膜下基底神经的分割和形态计量学分析已引起越来越多的兴趣。这种兴趣来自使用这些神经的变化作为周围糖尿病神经病变的早期检测和随访的简单且非侵入性方法的基础的可能性，周围神经病变是糖尿病患者慢性残疾的主要原因。在这里，我们提出了一种自动分割和分析角膜神经的方法，该方法是通过体内通过角膜共聚焦显微镜获得的图像进行分析。该方法能够分割角膜神经，灵敏度接近90％，错误识别的百分比平均为5.3％。根据文献报道，计算了神经曲折度，并显示出健康对照组和糖尿病个体之间的统计学显着差异。

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