Improving deep learning organ segmentation accuracy in cone-beam CT-guided radiotherapy using a robust scatter suppression method.
- DOI
- 10.1016/j.phro.2026.101084
- Published
- 2026 Nov
- Container
- Physics and imaging in radiation oncology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.phro.2026.101084,
title = {Improving deep learning organ segmentation accuracy in cone-beam CT-guided radiotherapy using a robust scatter suppression method.},
author = {Dotel R and Bayat F and Hu J and Pyakurel U and Sabounchi R and Bliley R and Lanning R and Kavanagh B and Robin T and Altunbas C},
year = {2026},
journal = {Physics and imaging in radiation oncology},
doi = {10.1016/j.phro.2026.101084},
url = {https://doi.org/10.1016/j.phro.2026.101084}
}RIS
TY - JOUR TI - Improving deep learning organ segmentation accuracy in cone-beam CT-guided radiotherapy using a robust scatter suppression method. AU - Dotel R AU - Bayat F AU - Hu J AU - Pyakurel U AU - Sabounchi R AU - Bliley R AU - Lanning R AU - Kavanagh B AU - Robin T AU - Altunbas C PY - 2026 JO - Physics and imaging in radiation oncology DO - 10.1016/j.phro.2026.101084 UR - https://doi.org/10.1016/j.phro.2026.101084 ER -
APA
R, D., F, B., J, H., U, P., R, S., R, B., R, L., B, K., T, R., & C, A. (2026). Improving deep learning organ segmentation accuracy in cone-beam CT-guided radiotherapy using a robust scatter suppression method.. Physics and imaging in radiation oncology. https://doi.org/10.1016/j.phro.2026.101084
Source records
- pubmed · retrieved 2026-09-26T05:41:04.874Z