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Deep learning tomographic reconstruction through hierarchical decomposition of domain transforms
Deep learning (DL) has shown unprecedented performance for many image analysis and image enhancement tasks. Yet, solving large-scale inverse problems like tomographic reconstruction remains challenging for DL. These problems involve non-local and space-variant integral transforms between the input a...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer Nature Singapore
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9733764/ https://www.ncbi.nlm.nih.gov/pubmed/36484980 http://dx.doi.org/10.1186/s42492-022-00127-y |