Deep Learning to Predict the Future Growth of Geographic Atrophy from Fundus Autofluorescence

Purpose: The region of growth (ROG) of geographic atrophy (GA) throughout the macular area has an impact on visual outcomes. Here, we developed multiple deep learning models to predict the 1-year ROG of GA lesions using fundus autofluorescence (FAF) images. Design: In this retrospective analysis, 3...

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Principais autores:	Anish Salvi, MS, Julia Cluceru, PhD, Simon S. Gao, PhD, Christina Rabe, PhD, Courtney Schiffman, PhD, Qi Yang, PhD, Aaron Y. Lee, MD, MSCI, Pearse A. Keane, MD, FRCOphth, Srinivas R. Sadda, MD, Frank G. Holz, MD, Daniela Ferrara, MD, PhD, Neha Anegondi, MTech
格式:	Artigo
語言:	Inglês
出版:	Elsevier 2025-03-01
叢編:	Ophthalmology Science
主題:	Age-related macular degeneration Artificial intelligence Deep learning Fundus autofluorescence imaging Geographic atrophy
在線閱讀:	http://www.sciencedirect.com/science/article/pii/S2666914524001714
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