Cargando…
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...
| Autores principales: | , , , , , , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
|
| Materias: | |
| 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 |