Application of generative adversarial networks (GAN) for ophthalmology image domains: a survey

BACKGROUND: Recent advances in deep learning techniques have led to improved diagnostic abilities in ophthalmology. A generative adversarial network (GAN), which consists of two competing types of deep neural networks, including a generator and a discriminator, has demonstrated remarkable performanc...

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Detalles Bibliográficos
Autores principales: You, Aram, Kim, Jin Kuk, Ryu, Ik Hee, Yoo, Tae Keun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8808986/
https://www.ncbi.nlm.nih.gov/pubmed/35109930
http://dx.doi.org/10.1186/s40662-022-00277-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8808986/
https://www.ncbi.nlm.nih.gov/pubmed/35109930
http://dx.doi.org/10.1186/s40662-022-00277-3

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