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A joint deep learning model to recover information and reduce artifacts in missing-wedge sinograms for electron tomography and beyond
We present a joint model based on deep learning that is designed to inpaint the missing-wedge sinogram of electron tomography and reduce the residual artifacts in the reconstructed tomograms. Traditional methods, such as weighted back projection (WBP) and simultaneous algebraic reconstruction techni...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6728317/ https://www.ncbi.nlm.nih.gov/pubmed/31488874 http://dx.doi.org/10.1038/s41598-019-49267-x |