Prediction of OCT contours of short-term response to anti-VEGF treatment for diabetic macular edema using generative adversarial networks

Diabetic macular edema (DME) stands as a leading cause for vision loss among the working-age population. Anti-vascular endothelial growth factor (VEGF) agents are currently recognized as the first-line treatment. However, a significant portion of patients remain insensitive to anti-VEGF, resulting i...

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Bibliographic Details
Main Authors:	Xueying Yang, Fabao Xu, Han Yu, Zhongwen Li, Xuechen Yu, Zhiwen Li, Li Zhang, Jie Liu, Shaopeng Wang, Shaopeng Liu, Jiaming Hong, Jianqiao Li
Format:	Article
Language:	English
Published:	Elsevier 2025-04-01
Series:	Photodiagnosis and Photodynamic Therapy
Subjects:	Diabetic macular edema Generative adversarial networks Deep neural networks Anti-vascular endothelial growth factor Optical coherence tomography
Online Access:	http://www.sciencedirect.com/science/article/pii/S1572100025000122
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Prediction of OCT contours of short-term response to anti-VEGF treatment for diabetic macular edema using generative adversarial networks

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