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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...
Guardat en:
| Publicat a: | J Synchrotron Radiat |
|---|---|
| Autors principals: | , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
International Union of Crystallography
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6510199/ https://ncbi.nlm.nih.gov/pubmed/31074449 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1107/S1600577519003448 |
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