Cargando…
Deep learning‐based survival analysis for brain metastasis patients with the national cancer database
PURPOSE: Prognostic indices such as the Brain Metastasis Graded Prognostic Assessment have been used in clinical settings to aid physicians and patients in determining an appropriate treatment regimen. These indices are derivative of traditional survival analysis techniques such as Cox proportional...
Autores principales: | Bice, Noah, Kirby, Neil, Bahr, Tyler, Rasmussen, Karl, Saenz, Daniel, Wagner, Timothy, Papanikolaou, Niko, Fakhreddine, Mohamad |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10081512/ https://www.ncbi.nlm.nih.gov/pubmed/32790207 http://dx.doi.org/10.1002/acm2.12995 |
Ejemplares similares
-
A sensitivity analysis of probability maps in deep‐learning‐based anatomical segmentation
por: Bice, Noah, et al.
Publicado: (2021) -
A method to predict patient‐specific table coordinates for quality assurance in external beam radiation therapy
por: Saenz, Daniel L., et al.
Publicado: (2018) -
Patient‐specific dose quality assurance of single‐isocenter multiple brain metastasis stereotactic radiosurgery using PTW Octavius 4D
por: McCulloch, James, et al.
Publicado: (2020) -
On the evaluation of mobile target trajectory between four‐dimensional computer tomography and four‐dimensional cone‐beam computer tomography
por: Baley, Colton, et al.
Publicado: (2021) -
Machine learning models to predict the delivered positions of Elekta multileaf collimator leaves for volumetric modulated arc therapy
por: Sivabhaskar, Sruthi, et al.
Publicado: (2022)