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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Detalles Bibliográficos
Autores principales: Zheng, Ce, Xie, Xiaolin, Zhou, Kang, Chen, Bang, Chen, Jili, Ye, Haiyun, Li, Wen, Qiao, Tong, Gao, Shenghua, Yang, Jianlong, Liu, Jiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2020
Materias:
Special Issue
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7410116/
https://www.ncbi.nlm.nih.gov/pubmed/32832202
http://dx.doi.org/10.1167/tvst.9.2.29

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7410116/
https://www.ncbi.nlm.nih.gov/pubmed/32832202
http://dx.doi.org/10.1167/tvst.9.2.29

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