Cargando…
Radiotherapy dose distribution prediction for breast cancer using deformable image registration
BACKGROUND: Radiotherapy treatment planning dose prediction can be used to ensure plan quality and guide automatic plan. One of the dose prediction methods is incorporating historical treatment planning data into algorithms to estimate the dose–volume histogram (DVH) of organ for new patients. Altho...
Autores principales: | Bai, Xue, Wang, Binbing, Wang, Shengye, Wu, Zhangwen, Gou, Chengjun, Hou, Qing |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7260772/ https://www.ncbi.nlm.nih.gov/pubmed/32471419 http://dx.doi.org/10.1186/s12938-020-00783-2 |
Ejemplares similares
-
Sharp loss: a new loss function for radiotherapy dose prediction based on fully convolutional networks
por: Bai, Xue, et al.
Publicado: (2021) -
Comparing of two dimensional and three dimensional fully
convolutional networks for radiotherapy dose prediction in left-sided breast
cancer
por: Bai, Xue, et al.
Publicado: (2021) -
Assessing cumulative dose distributions in combined radiotherapy for cervical cancer using deformable image registration with pre-imaging preparations
por: Abe, Takanori, et al.
Publicado: (2014) -
Evaluation of Deformable Image Registration Methods for Dose Monitoring in Head and Neck Radiotherapy
por: Rigaud, Bastien, et al.
Publicado: (2015) -
Integration of operator-validated contours in deformable image registration for dose accumulation in radiotherapy
por: Bosma, Lando S, et al.
Publicado: (2023)