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Generative adversarial network-created brain SPECTs of cerebral ischemia are indistinguishable to scans from real patients
Deep convolutional generative adversarial networks (GAN) allow for creating images from existing databases. We applied a modified light-weight GAN (FastGAN) algorithm to cerebral blood flow SPECTs and aimed to evaluate whether this technology can generate created images close to real patients. Inves...
Autores principales: | Werner, Rudolf A., Higuchi, Takahiro, Nose, Naoko, Toriumi, Fujio, Matsusaka, Yohji, Kuji, Ichiei, Kazuhiro, Koshino |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9637159/ https://www.ncbi.nlm.nih.gov/pubmed/36335166 http://dx.doi.org/10.1038/s41598-022-23325-3 |
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