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Generative Adversarial Networks for the Creation of Realistic Artificial Brain Magnetic Resonance Images
Even as medical data sets become more publicly accessible, most are restricted to specific medical conditions. Thus, data collection for machine learning approaches remains challenging, and synthetic data augmentation, such as generative adversarial networks (GAN), may overcome this hurdle. In the p...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Grapho Publications, LLC
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6299742/ https://www.ncbi.nlm.nih.gov/pubmed/30588501 http://dx.doi.org/10.18383/j.tom.2018.00042 |