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MoDL: Model Based Deep Learning Architecture for Inverse Problems
We introduce a model-based image reconstruction framework with a convolution neural network (CNN) based regularization prior. The proposed formulation provides a systematic approach for deriving deep architectures for inverse problems with the arbitrary structure. Since the forward model is explicit...
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| Vydáno v: | IEEE Trans Med Imaging |
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| Hlavní autoři: | , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2018
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6760673/ https://ncbi.nlm.nih.gov/pubmed/30106719 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2018.2865356 |
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