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MODEL BASED IMAGE RECONSTRUCTION USING DEEP LEARNED PRIORS (MODL)
We introduce a model-based image reconstruction framework, where we use a deep convolution neural network (CNN) based regularization prior. We rely on a recursive algorithm, which alternates between a CNN based denoising step and enforcement of data consistency. Unrolling the recursive algorithm yie...
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| Cyhoeddwyd yn: | Proc IEEE Int Symp Biomed Imaging |
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| Prif Awduron: | , , |
| Fformat: | Artigo |
| Iaith: | Inglês |
| Cyhoeddwyd: |
2018
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| Pynciau: | |
| Mynediad Ar-lein: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7876898/ https://ncbi.nlm.nih.gov/pubmed/33584973 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/isbi.2018.8363663 |
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