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3D deep convolutional neural network segmentation model for precipitate and porosity identification in synchrotron X-ray tomograms
New developments at synchrotron beamlines and the ongoing upgrades of synchrotron facilities allow the possibility to study complex structures with a much better spatial and temporal resolution than ever before. However, the downside is that the data collected are also significantly larger (more tha...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
International Union of Crystallography
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9455210/ https://www.ncbi.nlm.nih.gov/pubmed/36073882 http://dx.doi.org/10.1107/S1600577522006816 |