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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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| Publicat a: | Neural Netw |
|---|---|
| Autors principals: | , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2020
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| Matèries: | |
| Accés en línia: | 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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