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...

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Detalles Bibliográficos
Autores principales: Kim, Mingyu, Kim, You Na, Jang, Miso, Hwang, Jeongeun, Kim, Hong-Kyu, Yoon, Sang Chul, Kim, Yoon Jeon, Kim, Namkug
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
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

Internet

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

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