视网膜
曲折
口径
眼底摄影
视网膜
计算机科学
分形维数
眼科
眼底(子宫)
人工智能
光辉
计算机视觉
分形
医学
验光服务
光学
神经科学
数学
荧光血管造影
心理学
工程类
物理
岩土工程
数学分析
机械工程
多孔性
作者
Yuan Gao,Lijun Xu,Ning He,Yuchuan Ding,Wenbo Zhao,Tingting Meng,Ming Li,Jiaqi Wu,Yazeed Haddad,Xuxiang Zhang,Xunming Ji
摘要
Abstract The retina is often used to evaluate the vascular health status of eyes and the whole body directly and noninvasively in vivo . Retinal vascular parameters included caliber, tortuosity and fractal dimension. These variables represent the density or geometric characteristics of the vascular network apart from reflecting structural changes in the retinal vessel system. Currently, these parameters are often used as indicators of retinal disease, cardiovascular and cerebrovascular disease. Advanced digital fundus photography apparatus and computer-assisted analysis techniques combined with artificial intelligence, make the quantitative calculation of these parameters easier, objective, and labor-saving.
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