A Deep Learning Model for Automatically Quantifying the Anterior Segment in Ultrasound Biomicroscopy Images of Implantable Collamer Lens Candidates.

Jian ZhuYulin YanWeiyan JiangShaowei ZhangXiaoguang NiuShanshan WanYuyu CongXiao HuBiqin ZhengYanning Yang

Published in: Ultrasound in medicine & biology (2024)

A deep learning-based model could measure AS parameters using UBM images of ICL candidates, and exhibited a performance similar to that of a senior ophthalmologist.

Keyphrases

deep learning
convolutional neural network
artificial intelligence
machine learning
optical coherence tomography