Machine learning prediction of electronic-portal-imaging-device-based in vivo dosimetry results using plan complexity metrics, machine output and gamma passing rate: a feasibility study
- DOI
- 10.1007/s13246-026-01834-z
- Published
- 2026-11-10
- Container
- Physical and Engineering Sciences in Medicine
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s13246-026-01834-z,
title = {Machine learning prediction of electronic-portal-imaging-device-based in vivo dosimetry results using plan complexity metrics, machine output and gamma passing rate: a feasibility study},
author = {Nipon Saiyo and Hironori Kojima and Kimiya Noto and Naoki Isomura and Haruna Yokoyama and Kosuke Tsukamoto and Yuto Segawa and Shotaro Yamaguchi and Shota Ishihara and Akihiro Takemura},
year = {2026},
journal = {Physical and Engineering Sciences in Medicine},
doi = {10.1007/s13246-026-01834-z},
url = {https://doi.org/10.1007/s13246-026-01834-z}
}RIS
TY - JOUR TI - Machine learning prediction of electronic-portal-imaging-device-based in vivo dosimetry results using plan complexity metrics, machine output and gamma passing rate: a feasibility study AU - Nipon Saiyo AU - Hironori Kojima AU - Kimiya Noto AU - Naoki Isomura AU - Haruna Yokoyama AU - Kosuke Tsukamoto AU - Yuto Segawa AU - Shotaro Yamaguchi AU - Shota Ishihara AU - Akihiro Takemura PY - 2026 JO - Physical and Engineering Sciences in Medicine DO - 10.1007/s13246-026-01834-z UR - https://doi.org/10.1007/s13246-026-01834-z ER -
APA
Saiyo, N., Kojima, H., Noto, K., Isomura, N., Yokoyama, H., Tsukamoto, K., Segawa, Y., Yamaguchi, S., Ishihara, S., & Takemura, A. (2026). Machine learning prediction of electronic-portal-imaging-device-based in vivo dosimetry results using plan complexity metrics, machine output and gamma passing rate: a feasibility study. Physical and Engineering Sciences in Medicine. https://doi.org/10.1007/s13246-026-01834-z
Source records
- crossref · retrieved 2026-11-11T01:04:33.291Z