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Imaging quality of an artificial intelligence denoising algorithm: validation in (68)Ga PSMA-11 PET for patients with biochemical recurrence of prostate cancer
BACKGROUND: (68) Ga-PSMA PET is the leading prostate cancer imaging technique, but the image quality remains noisy and could be further improved using an artificial intelligence-based denoising algorithm. To address this issue, we analyzed the overall quality of reprocessed images compared to standa...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10212905/ https://www.ncbi.nlm.nih.gov/pubmed/37231229 http://dx.doi.org/10.1186/s13550-023-00999-y |