Development of a practical and high‐speed deep learning‐based dose calculation model in boron neutron capture therapy for head and neck cancer
- DOI
- 10.1002/mp.70497
- Published
- 2026-05
- Container
- Medical Physics
- Publisher
- Wiley
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1002/mp.70497,
title = {Development of a practical and high‐speed deep learning‐based dose calculation model in boron neutron capture therapy for head and neck cancer},
author = {Ryohei Kato and Noriyuki Kadoya and Takahiro Kato and Akihiko Takeuchi and Shinya Komori and Keiichi Jingu and Yoshihiro Takai},
year = {2026},
journal = {Medical Physics},
doi = {10.1002/mp.70497},
url = {https://doi.org/10.1002/mp.70497}
}RIS
TY - JOUR TI - Development of a practical and high‐speed deep learning‐based dose calculation model in boron neutron capture therapy for head and neck cancer AU - Ryohei Kato AU - Noriyuki Kadoya AU - Takahiro Kato AU - Akihiko Takeuchi AU - Shinya Komori AU - Keiichi Jingu AU - Yoshihiro Takai PY - 2026 JO - Medical Physics DO - 10.1002/mp.70497 UR - https://doi.org/10.1002/mp.70497 ER -
APA
Kato, R., Kadoya, N., Kato, T., Takeuchi, A., Komori, S., Jingu, K., & Takai, Y. (2026). Development of a practical and high‐speed deep learning‐based dose calculation model in boron neutron capture therapy for head and neck cancer. Medical Physics. https://doi.org/10.1002/mp.70497
Source records
- crossref · retrieved 2026-09-24T22:42:21.059Z