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Deep learning-based optical field screening for robust optical diffraction tomography
In tomographic reconstruction, the image quality of the reconstructed images can be significantly degraded by defects in the measured two-dimensional (2D) raw image data. Despite the importance of screening defective 2D images for robust tomographic reconstruction, manual inspection and rule-based a...
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| Publicado no: | Sci Rep |
|---|---|
| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6811526/ https://ncbi.nlm.nih.gov/pubmed/31645595 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-019-51363-x |
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