Influence of a Deep Learning Noise Reduction on the CT Values, Image Noise and Characterization of Kidney and Ureter Stones

Deep-learning (DL) noise reduction techniques in computed tomography (CT) are expected to reduce the image noise while maintaining the clinically relevant information in reduced dose acquisitions. This study aimed to assess the size, attenuation, and objective image quality of reno-ureteric stones d...

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Detalles Bibliográficos
Autores principales: Steuwe, Andrea, Valentin, Birte, Bethge, Oliver T., Ljimani, Alexandra, Niegisch, Günter, Antoch, Gerald, Aissa, Joel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9317055/
https://www.ncbi.nlm.nih.gov/pubmed/35885532
http://dx.doi.org/10.3390/diagnostics12071627

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9317055/
https://www.ncbi.nlm.nih.gov/pubmed/35885532
http://dx.doi.org/10.3390/diagnostics12071627

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