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A Green Prospective for Learned Post-Processing in Sparse-View Tomographic Reconstruction
Deep Learning is developing interesting tools that are of great interest for inverse imaging applications. In this work, we consider a medical imaging reconstruction task from subsampled measurements, which is an active research field where Convolutional Neural Networks have already revealed their g...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8404937/ https://www.ncbi.nlm.nih.gov/pubmed/34460775 http://dx.doi.org/10.3390/jimaging7080139 |