Cargando…
Current and future developments of synthetic computed tomography generation for radiotherapy
Autores principales: | van Elmpt, Wouter, Trier Taasti, Vicki, Redalen, Kathrine Røe |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10696097/ http://dx.doi.org/10.1016/j.phro.2023.100521 |
Ejemplares similares
-
Developments in deep learning based corrections of cone beam computed tomography to enable dose calculations for adaptive radiotherapy
por: Taasti, Vicki Trier, et al.
Publicado: (2020) -
Quantitative computed tomography in radiation therapy: A mature technology with a bright future
por: van Elmpt, Wouter, et al.
Publicado: (2018) -
Future directions on the merge of quantitative imaging and artificial intelligence in radiation oncology
por: Redalen, Kathrine Røe, et al.
Publicado: (2020) -
Clinical evaluation of synthetic computed tomography methods in adaptive proton therapy of lung cancer patients
por: Taasti, Vicki Trier, et al.
Publicado: (2023) -
Clinical implementation and validation of an automated adaptive workflow for proton therapy
por: Taasti, Vicki Trier, et al.
Publicado: (2022)