Predicting OCT images of short-term response to anti-VEGF treatment for retinal vein occlusion using generative adversarial network

Predicting OCT images of short-term response to anti-VEGF treatment for retinal vein occlusion using generative adversarial network

To generate and evaluate post-therapeutic optical coherence tomography (OCT) images based on pre-therapeutic images with generative adversarial network (GAN) to predict the short-term response of patients with retinal vein occlusion (RVO) to anti-vascular endothelial growth factor (anti-VEGF) therap...

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Bibliographic Details
Main Authors: Fabao Xu, Xuechen Yu, Yang Gao, Xiaolin Ning, Ziyuan Huang, Min Wei, Weibin Zhai, Rui Zhang, Shaopeng Wang, Jianqiao Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
deep learning
retinal vein occlusion
generative adversarial networks
optical coherence tomography
artificial intelligence
Online Access:https://www.frontiersin.org/articles/10.3389/fbioe.2022.914964/full

Internet

https://www.frontiersin.org/articles/10.3389/fbioe.2022.914964/full

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