Performance changes in automated lesion detection under federated learning with sequential institution addition
- DOI
- 10.1007/s11548-026-03795-w
- Published
- 2026-09-27
- Container
- International Journal of Computer Assisted Radiology and Surgery
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s11548-026-03795-w,
title = {Performance changes in automated lesion detection under federated learning with sequential institution addition},
author = {Yukihiro Nomura and Shouhei Hanaoka and Aiki Yamada and Tomomi Takenaga and Takahiro Nakao and Toshiya Nakaguchi and Takeharu Yoshikawa and Osamu Abe},
year = {2026},
journal = {International Journal of Computer Assisted Radiology and Surgery},
doi = {10.1007/s11548-026-03795-w},
url = {https://doi.org/10.1007/s11548-026-03795-w}
}RIS
TY - JOUR TI - Performance changes in automated lesion detection under federated learning with sequential institution addition AU - Yukihiro Nomura AU - Shouhei Hanaoka AU - Aiki Yamada AU - Tomomi Takenaga AU - Takahiro Nakao AU - Toshiya Nakaguchi AU - Takeharu Yoshikawa AU - Osamu Abe PY - 2026 JO - International Journal of Computer Assisted Radiology and Surgery DO - 10.1007/s11548-026-03795-w UR - https://doi.org/10.1007/s11548-026-03795-w ER -
APA
Nomura, Y., Hanaoka, S., Yamada, A., Takenaga, T., Nakao, T., Nakaguchi, T., Yoshikawa, T., & Abe, O. (2026). Performance changes in automated lesion detection under federated learning with sequential institution addition. International Journal of Computer Assisted Radiology and Surgery. https://doi.org/10.1007/s11548-026-03795-w
Source records
- crossref · retrieved 2026-11-10T11:27:18.963Z