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A convolutional neural network for fast upsampling of undersampled tomograms in X-ray CT time-series using a representative highly sampled tomogram

X-ray computed tomography and, specifically, time-resolved volumetric tomography data collections (4D datasets) routinely produce terabytes of data, which need to be effectively processed after capture. This is often complicated due to the high rate of data collection required to capture at sufficie...

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Detalles Bibliográficos
Autores principales: Bellos, Dimitrios, Basham, Mark, Pridmore, Tony, French, Andrew P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Union of Crystallography 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6510199/
https://www.ncbi.nlm.nih.gov/pubmed/31074449
http://dx.doi.org/10.1107/S1600577519003448

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