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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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| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6720205/ https://ncbi.nlm.nih.gov/pubmed/31426441 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19163578 |
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