Deep learning-based anterior segment identification and parameter assessment of primary angle closure disease in ultrasound biomicroscopy images

Deep learning-based anterior segment identification and parameter assessment of primary angle closure disease in ultrasound biomicroscopy images

Purpose To develop an artificial intelligence algorithm to automatically identify the anterior segment structures and assess multiple parameters of primary angle closure disease (PACD) in ultrasound biomicroscopy (UBM) images.Design Development and validation of an artificial intelligence algorithm...

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Bibliographic Details
Main Authors: Xingzhi Sun, Guotong Xie, Kun Lv, Xiaoyue Zhang, Bin Lv, Yuan Ni, Yao Ma, Fangting Li, Kangyi Yang, Jiayin Qin, Huijuan Wu
Format: Article
Language:English
Published: BMJ Publishing Group 2025-01-01
Series:BMJ Open Ophthalmology
Online Access:https://bmjophth.bmj.com/content/10/1/e001600.full
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https://bmjophth.bmj.com/content/10/1/e001600.full

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