Estimating Uncertainty of Geographic Atrophy Segmentations with Bayesian Deep Learning
Theodore Spaide, PhD, Anand E. Rajesh, MD, Nayoon Gim, Marian Blazes, MD et al. • Ophthalmology Science
(2025)
Purpose: To apply methods for quantifying uncertainty of deep learning segmentation of geographic atrophy (GA). Design: Retrospective analysis of OCT images and model comparison. Participants: One hundred twenty-six eyes from 87 participant...
DOAJ
Open Access (DOAJ)
DOI:
10.1016/j.xops.2024.100587