Hybrid deep learning models for the screening of Diabetic Macular Edema in optical coherence tomography volumes-Reference-Cited by-同舟云学术

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Hybrid deep learning models for the screening of Diabetic Macular Edema in optical coherence tomography volumes

Published:2024-07-31 Issue:1 Volume:14 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Rodríguez-Miguel Antonio,Arruabarrena Carolina,Allendes Germán,Olivera Maximiliano,Zarranz-Ventura Javier,Teus Miguel A.

Funder

Biomedical Research Foundation of the University Hospital “Príncipe de Asturias”

Publisher

Springer Science and Business Media LLC

Link

https://www.nature.com/articles/s41598-024-68489-2.pdf

Reference33 articles.

1. Lovic, D. et al. The growing epidemic of diabetes mellitus. Curr. Vasc. Pharmacol. 18, 104–109 (2020).

2. International Diabetes Federation, 2021. IDF Diabetes, 10th edition. Brussels: Atlas Press. https://diabetesatlas.org/. Accessed (28 06 2023).

3. Teo, Z. L. et al. Global prevalence of diabetic retinopathy and projection of burden through 2045: Systematic review and meta-analysis. Ophthalmology 128, 1580–1591 (2021).

4. Schmidt-Erfurth, U. et al. Three-year outcomes of individualized ranibizumab treatment in patients with diabetic macular edema The restore extension study. Ophthalmology https://doi.org/10.1016/j.ophtha.2013.11.041 (2014).

5. Fenner, B. J. et al. Advances in retinal imaging and applications in diabetic retinopathy screening: A review. Ophthalmol. Ther. 7, 333–346 (2018).

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