AIMC Topic: Vitreous Detachment
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Prediction of vitreomacular traction syndrome outcomes with deep learning: A pilot study.
European journal of ophthalmology
May 29, 2024
PURPOSE: To investigate the potential of an Optical Coherence Tomography (OCT) based Deep-Learning (DL) model in the prediction of Vitreomacular Traction (VMT) syndrome outcomes.
A Deep Learning Model for Screening Multiple Abnormal Findings in Ophthalmic Ultrasonography (With Video).
Translational vision science & technology
Apr 1, 2021
PURPOSE: The purpose of this study was to construct a deep learning system for rapidly and accurately screening retinal detachment (RD), vitreous detachment (VD), and vitreous hemorrhage (VH) in ophthalmic ultrasound in real time.
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