Application and comparison of machine learning models for predicting quality assurance outcomes in radiation therapy treatment planning
- DOI
- 10.1016/j.imu.2020.100292
- Published
- 2020
- Container
- Informatics in Medicine Unlocked
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.imu.2020.100292,
title = {Application and comparison of machine learning models for predicting quality assurance outcomes in radiation therapy treatment planning},
author = {Phillip D.H. Wall and Jonas D. Fontenot},
year = {2020},
journal = {Informatics in Medicine Unlocked},
doi = {10.1016/j.imu.2020.100292},
url = {https://doi.org/10.1016/j.imu.2020.100292}
}RIS
TY - JOUR TI - Application and comparison of machine learning models for predicting quality assurance outcomes in radiation therapy treatment planning AU - Phillip D.H. Wall AU - Jonas D. Fontenot PY - 2020 JO - Informatics in Medicine Unlocked DO - 10.1016/j.imu.2020.100292 UR - https://doi.org/10.1016/j.imu.2020.100292 ER -
APA
Wall, P. D., & Fontenot, J. D. (2020). Application and comparison of machine learning models for predicting quality assurance outcomes in radiation therapy treatment planning. Informatics in Medicine Unlocked. https://doi.org/10.1016/j.imu.2020.100292
Source records
- crossref · retrieved 2026-09-25T18:35:01.659Z