AI-assisted VMAT planning incorporating deep learning-based dose prediction for head and neck cancer: feasibility of quality standardization and human intervention for irregular cases.
- DOI
- 10.1002/acm2.70715
- Published
- 2026 Aug
- Container
- Journal of applied clinical medical physics
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1002/acm2.70715,
title = {AI-assisted VMAT planning incorporating deep learning-based dose prediction for head and neck cancer: feasibility of quality standardization and human intervention for irregular cases.},
author = {Tomori S and Narazaki K and Tasaka S},
year = {2026},
journal = {Journal of applied clinical medical physics},
doi = {10.1002/acm2.70715},
url = {https://doi.org/10.1002/acm2.70715}
}RIS
TY - JOUR TI - AI-assisted VMAT planning incorporating deep learning-based dose prediction for head and neck cancer: feasibility of quality standardization and human intervention for irregular cases. AU - Tomori S AU - Narazaki K AU - Tasaka S PY - 2026 JO - Journal of applied clinical medical physics DO - 10.1002/acm2.70715 UR - https://doi.org/10.1002/acm2.70715 ER -
APA
S, T., K, N., & S, T. (2026). AI-assisted VMAT planning incorporating deep learning-based dose prediction for head and neck cancer: feasibility of quality standardization and human intervention for irregular cases.. Journal of applied clinical medical physics. https://doi.org/10.1002/acm2.70715
Source records
- pubmed · retrieved 2026-09-25T22:35:16.684Z
- europe-pmc · retrieved 2026-09-25T22:35:16.702Z