Cargando…
Predicting Three-Dimensional Dose Distribution of Prostate Volumetric Modulated Arc Therapy Using Deep Learning
Background: Volumetric modulated arc therapy (VMAT) planning is a time-consuming process of radiation therapy. With a deep learning approach, 3D dose distribution can be predicted without the need for an actual dose calculation. This approach can accelerate the process by guiding and confirming the...
Autores principales: | Kummanee, Patiparn, Chancharoen, Wares, Tangtisanon, Kanut, Fuangrod, Todsaporn |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8706736/ https://www.ncbi.nlm.nih.gov/pubmed/34947836 http://dx.doi.org/10.3390/life11121305 |
Ejemplares similares
-
Predicting gamma evaluation results of patient‐specific head and neck volumetric‐modulated arc therapy quality assurance based on multileaf collimator patterns and fluence map features: A feasibility study
por: Thongsawad, Sangutid, et al.
Publicado: (2022) -
Three-dimensional dose reconstruction-based pretreatment dosimetric verification in volumetric modulated arc therapy for prostate cancer
por: Jeong, Yuri, et al.
Publicado: (2020) -
Dose Super-Resolution in Prostate Volumetric Modulated Arc Therapy Using Cascaded Deep Learning Networks
por: Shin, Dong-Seok, et al.
Publicado: (2020) -
An investigation of the dose distribution effect related with collimator angle in volumetric arc therapy of prostate cancer
por: Tas, Bora, et al.
Publicado: (2016) -
Feasibility of Four-dimensional Adaptation of Volumetric Modulated Arc Therapy Based on Volumetric Modulated Arc Therapy-computed Tomography
por: Zhao, Xiaodong, et al.
Publicado: (2023)