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Synthesizing realistic high-resolution retina image by style-based generative adversarial network and its utilization
Realistic image synthesis based on deep learning is an invaluable technique for developing high-performance computer aided diagnosis systems while protecting patient privacy. However, training a generative adversarial network (GAN) for image synthesis remains challenging because of the large amounts...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9569369/ https://www.ncbi.nlm.nih.gov/pubmed/36243746 http://dx.doi.org/10.1038/s41598-022-20698-3 |