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PET Image Super-Resolution Using Generative Adversarial Networks
The intrinsically low spatial resolution of positron emission tomography (PET) leads to image quality degradation and inaccurate image-based quantitation. Recently developed supervised super-resolution (SR) approaches are of great relevance to PET but require paired low- and high-resolution images f...
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| Publicado no: | Neural Netw |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7136141/ https://ncbi.nlm.nih.gov/pubmed/32078963 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neunet.2020.01.029 |
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