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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Bibliografiska uppgifter
I publikationen:Tomography
Huvudupphovsmän: Kazuhiro, Koshino, Werner, Rudolf A., Toriumi, Fujio, Javadi, Mehrbod S., Pomper, Martin G., Solnes, Lilja B., Verde, Franco, Higuchi, Takahiro, Rowe, Steven P.
Materialtyp: Artigo
Språk:Inglês
Publicerad: Grapho Publications, LLC 2018
Ämnen:
Advances in Brief
Länkar: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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