Machine learning denoising of high-resolution X-ray nano­tomography data

High-resolution X-ray nano­tomography is a quantitative tool for investigating specimens from a wide range of research areas. However, the quality of the reconstructed tomogram is often obscured by noise and therefore not suitable for automatic segmentation. Filtering methods are often required for...

Descripción completa

Detalles Bibliográficos
Autores principales: Flenner, Silja, Bruns, Stefan, Longo, Elena, Parnell, Andrew J., Stockhausen, Kilian E., Müller, Martin, Greving, Imke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Union of Crystallography 2022
Materias:
Research Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8733986/
https://www.ncbi.nlm.nih.gov/pubmed/34985440
http://dx.doi.org/10.1107/S1600577521011139

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8733986/
https://www.ncbi.nlm.nih.gov/pubmed/34985440
http://dx.doi.org/10.1107/S1600577521011139

Ejemplares similares