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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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Detaylı Bibliyografya
Yayımlandı:Med Phys
Asıl Yazarlar: Ouyang, Jiahong, Chen, Kevin T., Gong, Enhao, Pauly, John, Zaharchuk, Greg
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: John Wiley and Sons Inc. 2019
Konular:
Online Erişim: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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