A Novel Machine Learning Model for Dose Prediction in Prostate Volumetric Modulated Arc Therapy Using Output Initialization and Optimization Priorities

Treatment planning for prostate volumetric modulated arc therapy (VMAT) can take 5–30 min per plan to optimize and calculate, limiting the number of plan options that can be explored before the final plan decision. Inspired by the speed and accuracy of modern machine learning models, such as residua...

Descripción completa

Detalles Bibliográficos
Autores principales: Jensen, P. James, Zhang, Jiahan, Koontz, Bridget F., Wu, Q. Jackie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8103207/
https://www.ncbi.nlm.nih.gov/pubmed/33969289
http://dx.doi.org/10.3389/frai.2021.624038

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8103207/
https://www.ncbi.nlm.nih.gov/pubmed/33969289
http://dx.doi.org/10.3389/frai.2021.624038

Ejemplares similares