Trainable joint bilateral filters for enhanced prediction stability in low-dose CT

Low-dose computed tomography (CT) denoising algorithms aim to enable reduced patient dose in routine CT acquisitions while maintaining high image quality. Recently, deep learning (DL)-based methods were introduced, outperforming conventional denoising algorithms on this task due to their high model...

Descripción completa

Detalles Bibliográficos
Autores principales: Wagner, Fabian, Thies, Mareike, Denzinger, Felix, Gu, Mingxuan, Patwari, Mayank, Ploner, Stefan, Maul, Noah, Pfaff, Laura, Huang, Yixing, Maier, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9585057/
https://www.ncbi.nlm.nih.gov/pubmed/36266416
http://dx.doi.org/10.1038/s41598-022-22530-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9585057/
https://www.ncbi.nlm.nih.gov/pubmed/36266416
http://dx.doi.org/10.1038/s41598-022-22530-4

Ejemplares similares