Abstract
Presentation Description :
Artificial intelligence (AI) has made a tremendous impact in ophthalmology, solving many computer vision problems. However, many successful applications have been limited to classification and feature segmentation. This session will focus on exploring the boundary between anatomic structure and retinal function using AI algorithms by using a different class of AI models. We describe our recent successes in applying these classes of models on OCT imaging and color fundus photographs of the retina.
This abstract was presented at the 2019 ARVO Annual Meeting, held in Vancouver, Canada, April 28 - May 2, 2019.