Deep Learning Model for Static Ocular Torsion Detection Using Synthetically Generated Fundus Images.
Journal:
Translational vision science & technology
Published Date:
Jan 3, 2023
Abstract
PURPOSE: The objective of the study is to develop deep learning models using synthetic fundus images to assess the direction (intorsion versus extorsion) and amount (physiologic versus pathologic) of static ocular torsion. Static ocular torsion assessment is an important clinical tool for classifying vertical ocular misalignment; however, current methods are time-intensive with steep learning curves for frontline providers.