Domalpally, A., R. Slater, R. Linderman, R. Balaji, J. Bogost, R. Voland, J. Pak, B. Blodi, R. Channa, D. Fong, and E. Chew. Strong Versus Weak Data Labeling for Artificial Intelligence Algorithms in the Measurement of Geographic Atrophy. Ophthalmol Sci, 2024, p. Epub PubMed Text.
Abstract
Purpose: To gain an understanding of data labeling requirements to train deep learning models for measurement of geographic atrophy (GA) with fundus autofluorescence (FAF) images.
Keywords: Artificial intelligence; Data labeling; Dry AMD; Geographic atrophy.