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

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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