Machine Learning-based Auto-merge Program for Nine-directional Ocular Photography

IF 0.1 Q4 OPHTHALMOLOGY
Shin Hyeong Park, Woohyuk Lee, T. Kang, H. Cho, Yongseop Han, Ji Hye Kim
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引用次数: 0

Abstract

Purpose: This study introduces a new machine learning-based auto-merge program (HydraVersion) that automatically combines multiple ocular photographs into single nine-directional ocular photographs. We compared the accuracy and time required to generate ocular photographs between HydraVersion and PowerPoint.Methods: This was a retrospective study of 2,524 sets of 250 nine-directional ocular photographs (134 patients) between March 2016 and June 2022. The test dataset comprised 74 sets of 728 photographs (38 patients). We measured the time taken to generate nine-directional ocular photographs using HydraVersion and PowerPoint, and compared their accuracy.Results: HydraVersion correctly combined 71 (95.95%) of the 74 sets of nine-directional ocular photographs. The average working time for HydraVersion and PowerPoint was 2.40 ± 0.43 and 255.9 ± 26.7 seconds, respectively; HydraVersion was significantly faster than PowerPoint (p < 0.001).Conclusions: Strabismus and neuro-ophthalmology centers are often unable to combine and store photographs, except those of clinically significant cases, because of a lack of time and manpower. This study demonstrated that HydraVersion may facilitate treatment and research because it can quickly and conveniently generate nine-directional ocular photographs.
基于机器学习的九向眼摄影自动合并程序
目的:本研究介绍了一种新的基于机器学习的自动合并程序(HydraVersion),该程序可以自动将多张眼照片合并为单张九向眼照片。我们比较了HydraVersion和PowerPoint之间生成眼部照片所需的准确性和时间。方法:回顾性分析2016年3月至2022年6月期间,共134例患者共2524组250张九向眼摄影。测试数据集包括74组728张照片(38名患者)。我们测量了使用HydraVersion和PowerPoint生成九向眼照片所需的时间,并比较了它们的准确性。结果:HydraVersion正确组合74组九向眼照片71张(95.95%)。HydraVersion和PowerPoint的平均工作时间分别为2.40±0.43秒和255.9±26.7秒;HydraVersion显著快于PowerPoint (p < 0.001)。结论:由于时间和人力的原因,斜视和神经眼科中心往往无法合并和存储照片,除了那些具有临床意义的病例。本研究表明,HydraVersion可以快速方便地生成九向眼图像,有助于治疗和研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
0.20
自引率
0.00%
发文量
126
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