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Influence of a novel deep-learning based reconstruction software on the objective and subjective image quality in low-dose abdominal computed tomography

OBJECTIVES: Modern reconstruction and post-processing software aims at reducing image noise in CT images, potentially allowing for a reduction of the employed radiation exposure. This study aimed at assessing the influence of a novel deep-learning based software on the subjective and objective image...

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Библиографические подробности
Опубликовано в: :Br J Radiol
Главные авторы: Steuwe, Andrea, Weber, Marie, Bethge, Oliver Thomas, Rademacher, Christin, Boschheidgen, Matthias, Sawicki, Lino Morris, Antoch, Gerald, Aissa, Joel
Формат: Artigo
Язык:Inglês
Опубликовано: The British Institute of Radiology. 2021
Предметы:
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC7774679/
https://ncbi.nlm.nih.gov/pubmed/33095654
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1259/bjr.20200677
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