Generative Adversarial Networks and Its Applications in Biomedical Informatics

The basic Generative Adversarial Networks (GAN) model is composed of the input vector, generator, and discriminator. Among them, the generator and discriminator are implicit function expressions, usually implemented by deep neural networks. GAN can learn the generative model of any data distribution...

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Detalles Bibliográficos
Autores principales: Lan, Lan, You, Lei, Zhang, Zeyang, Fan, Zhiwei, Zhao, Weiling, Zeng, Nianyin, Chen, Yidong, Zhou, Xiaobo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7235323/
https://www.ncbi.nlm.nih.gov/pubmed/32478029
http://dx.doi.org/10.3389/fpubh.2020.00164

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7235323/
https://www.ncbi.nlm.nih.gov/pubmed/32478029
http://dx.doi.org/10.3389/fpubh.2020.00164

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