Assessment of Generative Adversarial Networks Model for Synthetic Optical Coherence Tomography Images of Retinal Disorders

PURPOSE: To assess whether a generative adversarial network (GAN) could synthesize realistic optical coherence tomography (OCT) images that satisfactorily serve as the educational images for retinal specialists, and the training datasets for the classification of various retinal disorders using deep...

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Bibliografische gegevens
Gepubliceerd in:Transl Vis Sci Technol
Hoofdauteurs: Zheng, Ce, Xie, Xiaolin, Zhou, Kang, Chen, Bang, Chen, Jili, Ye, Haiyun, Li, Wen, Qiao, Tong, Gao, Shenghua, Yang, Jianlong, Liu, Jiang
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: The Association for Research in Vision and Ophthalmology 2020
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Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7410116/
https://ncbi.nlm.nih.gov/pubmed/32832202
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1167/tvst.9.2.29
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