Department of Ophthalmology and Visual Sciences, University of Maryland School of Medicine.
Department of Computer Science and Engineering.
J Glaucoma. 2021 May 1;30(5):e222-e226. doi: 10.1097/IJG.0000000000001809.
The study was a prospective observational study comparing semiautomated to manual quantitative ultrasound biomicroscopy image analysis among 82 images from 41 eyes of 32 subjects (21 controls and 11 glaucoma) enrolled in the Pediatric Anterior Segment Imaging Innovation Study. Intraclass correlation coefficients and correlation coefficients were >0.8 for all parameters, and comparison of respective analysis speed was 7 times faster for the semiautomated method compared with manual image quantification.
这项研究是一项前瞻性观察研究，比较了半自动化和手动定量超声生物显微镜图像分析在 32 名受试者（21 名对照和 11 名青光眼）的 41 只眼中的 82 张图像中的应用。所有参数的组内相关系数和相关系数均>0.8，与手动图像定量相比，半自动化方法的分析速度快 7 倍。
