Cargando…
Deep learning based low-dose synchrotron radiation CT reconstruction
<!--HTML-->Synchrotron radiation sources are widely used in various fields, among which computed tomography (CT) is one of the most important fields. The amount of effort expended by the operator varies depending on the subject. If the number of angles needed to be used can be greatly reduced...
Autor principal: | Li, Ling |
---|---|
Lenguaje: | eng |
Publicado: |
2021
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2766904 |
Ejemplares similares
-
Intelligent compression for synchrotron radiation source image
por: Fu, Shiyuan
Publicado: (2021) -
75% radiation dose reduction using deep learning reconstruction on low-dose chest CT
por: Jo, Gyeong Deok, et al.
Publicado: (2023) -
Synchrotron radiation & vacuum concepts
por: KERSEVAN, Roberto
Publicado: (2014) -
Accelerating End-to-End Deep Learning for Particle Reconstruction using CMS open data
por: Di Croce, Davide
Publicado: (2021) -
A Deep Learning approach to LHCb Calorimeter reconstruction using a Cellular Automaton
por: Valls Canudas, Nuria
Publicado: (2021)