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Ultra‐low‐dose PET reconstruction using generative adversarial network with feature matching and task‐specific perceptual loss
PURPOSE: Our goal was to use a generative adversarial network (GAN) with feature matching and task‐specific perceptual loss to synthesize standard‐dose amyloid Positron emission tomography (PET) images of high quality and including accurate pathological features from ultra‐low‐dose PET images only....
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| Publicado no: | Med Phys |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
John Wiley and Sons Inc.
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6692211/ https://ncbi.nlm.nih.gov/pubmed/31131901 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.13626 |
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