Strong versus Weak Data Labeling for Artificial Intelligence Algorithms in the Measurement of Geographic Atrophy

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. Design: Evaluation of artificial intelligence (AI) algorithms. Subjects: The Age-Related Eye Disease Study 2 (AREDS2) im...

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發表在:	Ophthalmology Science
Main Authors:	Amitha Domalpally, MD, PhD, Robert Slater, PhD, Rachel E. Linderman, PhD, Rohit Balaji, Jacob Bogost, Rick Voland, PhD, Jeong Pak, PhD, Barbara A. Blodi, MD, Roomasa Channa, MD, Donald Fong, MD, Emily Y. Chew, MD
格式:	Article
語言:	英语
出版:	Elsevier 2024-09-01
主題:	Artificial intelligence Geographic atrophy Dry AMD Data labeling
在線閱讀:	http://www.sciencedirect.com/science/article/pii/S2666914524000137