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Stabilizing deep tomographic reconstruction: Part A. Hybrid framework and experimental results
A recent PNAS paper reveals that several popular deep reconstruction networks are unstable. Specifically, three kinds of instabilities were reported: (1) strong image artefacts from tiny perturbations, (2) small features missed in a deeply reconstructed image, and (3) decreased imaging performance w...
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9122961/ https://www.ncbi.nlm.nih.gov/pubmed/35607623 http://dx.doi.org/10.1016/j.patter.2022.100474 |