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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Bibliographic Details
Published in:Transl Vis Sci Technol
Main Authors: Zheng, Ce, Xie, Xiaolin, Zhou, Kang, Chen, Bang, Chen, Jili, Ye, Haiyun, Li, Wen, Qiao, Tong, Gao, Shenghua, Yang, Jianlong, Liu, Jiang
Format: Artigo
Language:Inglês
Published: The Association for Research in Vision and Ophthalmology 2020
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Special Issue
Online Access: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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