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Generative adversarial network based regularized image reconstruction for PET
Positron emission tomography (PET) is an ill-posed inverse problem and suffers high noise due to limited number of detected events. Prior information can be used to improve the quality of reconstructed PET images. Deep neural networks have also been applied to regularized image reconstruction. One m...
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| Gepubliceerd in: | Phys Med Biol |
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| Hoofdauteurs: | , , , , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2020
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7413644/ https://ncbi.nlm.nih.gov/pubmed/32357352 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/1361-6560/ab8f72 |
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