Deep learning model developed for keypoint localization and parameter measurement in ultrasound biomicroscopy anterior segment images.
Accurate measurement of key parameters in ophthalmic conditions crucial; traditional methods often time-consuming and labor-intensive.
Study utilized YOLOv8 for segmentation, achieved high precision in keypoint localization, enhancing clinical diagnostic efficiency.
Results show improved accuracy compared to clinical gold standards after keypoint localization and parameter measurement in ultrasound biomicroscopy images.