Tomographic reconstruction with a generative adversarial network

This paper presents a deep learning algorithm for tomographic reconstruction (GANrec). The algorithm uses a generative adversarial network (GAN) to solve the inverse of the Radon transform directly. It works for independent sinograms without additional training steps. The GAN has been developed to f...

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Detalles Bibliográficos
Autores principales: Yang, Xiaogang, Kahnt, Maik, Brückner, Dennis, Schropp, Andreas, Fam, Yakub, Becher, Johannes, Grunwaldt, Jan-Dierk, Sheppard, Thomas L., Schroer, Christian G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Union of Crystallography 2020
Materias:
Research Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7064113/
https://www.ncbi.nlm.nih.gov/pubmed/32153289
http://dx.doi.org/10.1107/S1600577520000831

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7064113/
https://www.ncbi.nlm.nih.gov/pubmed/32153289
http://dx.doi.org/10.1107/S1600577520000831

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