Deep Learning to Predict Geographic Atrophy Area and Growth Rate from Multimodal Imaging-Reference-Cited by-同舟云学术

Deep Learning to Predict Geographic Atrophy Area and Growth Rate from Multimodal Imaging

Published:2023-03 Issue:3 Volume:7 Page:243-252
ISSN:2468-6530
Container-title:Ophthalmology Retina
language:en
Short-container-title:Ophthalmology Retina

Author:

Anegondi Neha,Gao Simon S.,Steffen Verena,Spaide Richard F.,Sadda SriniVas R.,Holz Frank G.,Rabe Christina,Honigberg Lee,Newton Elizabeth M.,Cluceru Julia,Kawczynski Michael G.,Bengtsson Thomas,Ferrara Daniela,Yang Qi

Publisher

Elsevier BV

Subject

Ophthalmology

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4. OCT angiography to predict geographic atrophy progression using choriocapillaris flow void as a biomarker;Nattagh;Transl Vis Sci Technol,2020

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4. Association Between Quantitative and Qualitative Imaging Biomarkers and Geographic Atrophy Growth Rate;American Journal of Ophthalmology;2024-08

5. Einsatz von künstlicher Intelligenz bei der geographischen Atrophie bei der altersabhängigen Makuladegeneration;Die Ophthalmologie;2024-07-31