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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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| Publicado no: | Transl Vis Sci Technol |
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| Main Authors: | , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
The Association for Research in Vision and Ophthalmology
2020
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| Assuntos: | |
| Acesso em linha: | 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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