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Self-supervised PET Denoising
PURPOSE: Early deep-learning-based image denoising techniques mainly focused on a fully supervised model that learns how to generate a clean image from the noisy input (noise2clean: N2C). The aim of this study is to explore the feasibility of the self-supervised methods (noise2noise: N2N and noiser2...
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| Veröffentlicht in: | Nucl Med Mol Imaging |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Springer Singapore
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7704825/ https://ncbi.nlm.nih.gov/pubmed/33282001 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s13139-020-00667-2 |
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