HEMIGEN: Human Embryo Image Generator Based on Generative Adversarial Networks

We propose a method for generating the synthetic images of human embryo cells that could later be used for classification, analysis, and training, thus resulting in the creation of new synthetic image datasets for research areas lacking real-world data. Our focus was not only to generate the generic...

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Detalles Bibliográficos
Autores principales: Dirvanauskas, Darius, Maskeliūnas, Rytis, Raudonis, Vidas, Damaševičius, Robertas, Scherer, Rafal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6720205/
https://www.ncbi.nlm.nih.gov/pubmed/31426441
http://dx.doi.org/10.3390/s19163578

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6720205/
https://www.ncbi.nlm.nih.gov/pubmed/31426441
http://dx.doi.org/10.3390/s19163578

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