Cargando…
Prior‐knowledge treatment planning for volumetric arc therapy using feature‐based database mining
Treatment planning for volumetric arc therapy (VMAT) is a lengthy process that requires many rounds of optimizations to obtain the best treatment settings and optimization constraints for a given patient's geometry. We propose a feature‐selection search engine that explores previously treated c...
Autores principales: | Schreibmann, Eduard, Fox, Tim |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5875469/ https://www.ncbi.nlm.nih.gov/pubmed/24710446 http://dx.doi.org/10.1120/jacmp.v15i2.4596 |
Ejemplares similares
-
Towards automated planning for unsealed source therapy
por: Schreibmann, Eduard, et al.
Publicado: (2012) -
Automated population‐based planning for whole brain radiation therapy
por: Schreibmann, Eduard, et al.
Publicado: (2015) -
Modulation indices and plan delivery accuracy of volumetric modulated arc therapy
por: Park, Jong Min, et al.
Publicado: (2019) -
An updating approach for knowledge‐based planning models to improve plan quality and variability in volumetric‐modulated arc therapy for prostate cancer
por: Nakamura, Kenji, et al.
Publicado: (2021) -
Comparison of volumetric‐modulated arc therapy and dynamic conformal arc treatment planning for cranial stereotactic radiosurgery
por: Molinier, Jessica, et al.
Publicado: (2016)