Deep Learning-Based Prediction of Individual Geographic Atrophy Progression from a Single Baseline OCT-Reference-Cited by-同舟云学术

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Deep Learning-Based Prediction of Individual Geographic Atrophy Progression from a Single Baseline OCT

Published:2024-07 Issue:4 Volume:4 Page:100466
ISSN:2666-9145
Container-title:Ophthalmology Science
language:en
Short-container-title:Ophthalmology Science

Author:

Mai Julia^ORCID,Lachinov Dmitrii^ORCID,Reiter Gregor S.^ORCID,Riedl Sophie,Grechenig Christoph,Bogunovic Hrvoje^ORCID,Schmidt-Erfurth Ursula^ORCID

Publisher

Elsevier BV

Reference36 articles.

1. Clinical classification of age-related macular degeneration;Ferris;Ophthalmology,2013

2. Advances in age-related macular degeneration understanding and therapy;Miller;US Ophthal Rev,2017

3. Prevalence of age-related macular degeneration in the United States;Friedman;Arch Ophthalmol,2004

4. Global prevalence of age-related macular degeneration and disease burden projection for 2020 and 2040: a systematic review and meta-analysis;Wong;Lancet Glob Health,2014

5. Natural history of geographic atrophy progression secondary to age-related macular degeneration (geographic atrophy progression study);Schmitz-Valckenberg;Ophthalmology,2016

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Artificial intelligence for geographic atrophy: pearls and pitfalls;Current Opinion in Ophthalmology;2024-08-27

2. New horizons in geographic atrophy treatment: enthusiasm and caution surrounding complement inhibitors;BMJ Open Ophthalmology;2024-08

3. Artificial intelligence for retinal diseases;Asia-Pacific Journal of Ophthalmology;2024-07

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