Cargando…
Low-Cost Probabilistic 3D Denoising with Applications for Ultra-Low-Radiation Computed Tomography
We propose a pipeline for synthetic generation of personalized Computer Tomography (CT) images, with a radiation exposure evaluation and a lifetime attributable risk (LAR) assessment. We perform a patient-specific performance evaluation for a broad range of denoising algorithms (including the most p...
Autores principales: | Horenko, Illia, Pospíšil, Lukáš, Vecchi, Edoardo, Albrecht, Steffen, Gerber, Alexander, Rehbock, Beate, Stroh, Albrecht, Gerber, Susanne |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9224620/ https://www.ncbi.nlm.nih.gov/pubmed/35735955 http://dx.doi.org/10.3390/jimaging8060156 |
Ejemplares similares
-
Improving clustering by imposing network information
por: Gerber, Susanne, et al.
Publicado: (2015) -
Co-Inference of Data Mislabelings Reveals Improved Models in Genomics and Breast Cancer Diagnostics
por: Gerber, Susanne, et al.
Publicado: (2022) -
Low-cost scalable discretization, prediction, and feature selection for complex systems
por: Gerber, S., et al.
Publicado: (2020) -
A scalable approach to the computation of invariant measures for high-dimensional Markovian systems
por: Gerber, Susanne, et al.
Publicado: (2018) -
On cheap entropy-sparsified regression learning
por: Horenko, Illia, et al.
Publicado: (2022)