Artificial Intelligence-Based Quantification of Central Macular Fluid Volume and VA Prediction for Diabetic Macular Edema Using OCT Images
Author:
Funder
Zhejiang Medical and Health Science and Technology Plan Project
Publisher
Springer Science and Business Media LLC
Subject
Ophthalmology
Link
https://link.springer.com/content/pdf/10.1007/s40123-023-00746-5.pdf
Reference25 articles.
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3. Mathur R, Bhaskaran K, Edwards E, Lee H, Chaturvedi N, Smeeth L, Douglas I. Population trends in the 10-year incidence and prevalence of diabetic retinopathy in the UK: a cohort study in the Clinical Practice Research Datalink 2004–2014. BMJ Open. 2017;7(2): e014444.
4. Maturi RK, Glassman AR, Josic K, Baker CW, Gerstenblith AT, Jampol LM, Meleth A, Martin DF, Melia M, Punjabi OS, Rofagha S, Salehi-Had H, Stockdale CR, Sun JK. Four-Year Visual Outcomes in the Protocol W Randomized Trial of Intravitreous Aflibercept for Prevention of Vision-Threatening Complications of Diabetic Retinopathy. JAMA. 2023;329(5):376–85.
5. Li Y-F, Ren Q, Sun C-H, Li L, Lian H-D, Sun R-X, Su X, Yu H. Efficacy and mechanism of anti-vascular endothelial growth factor drugs for diabetic macular edema patients. World J Diabetes. 2022;13(7):532–42.
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