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...

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Detalles Bibliográficos
Autores principales: Werner, Rudolf A., Higuchi, Takahiro, Nose, Naoko, Toriumi, Fujio, Matsusaka, Yohji, Kuji, Ichiei, Kazuhiro, Koshino
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
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

Internet

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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