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...

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Detalhes bibliográficos
Publicado no:Tomography
Main Authors: Kazuhiro, Koshino, Werner, Rudolf A., Toriumi, Fujio, Javadi, Mehrbod S., Pomper, Martin G., Solnes, Lilja B., Verde, Franco, Higuchi, Takahiro, Rowe, Steven P.
Formato: Artigo
Idioma:Inglês
Publicado em: Grapho Publications, LLC 2018
Assuntos:
Advances in Brief
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6299742/
https://ncbi.nlm.nih.gov/pubmed/30588501
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.18383/j.tom.2018.00042
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