Click here to view the original post by Ophthalmology Science.
In addition to our own original articles, the Retina Consultant team expertly curates relevant news and research from leading publications.to provide our readers with a comprehensive view of the retina & ophthalmology landscape, Full credit belongs to the original authors and publication.
By clicking the link above, you will be leaving our site to view an article from its original source.
Sharpen your perspective. Get our weekly analysis of the news shaping the retina industry.
Glaucoma is a chronic eye disease that progressively damages the optic nerve, leading to irreversible visual field loss. Optical Coherence Tomography (OCT) and Visual Field (VF) tests are essential for monitoring structural and functional changes in glaucoma. This study applies three deep learning models—R2 U-Net, Dense U-Net, and Nested U-Net (UNet++)—to predict visual field outcomes using Retinal Nerve Fiber Layer (RNFL) thickness maps from OCT images.