Reducing Annotation Costs Using Knowledge Distillation for Label‑Efficient Negation Detection in Radiology Reports: Multisite Internal Validation Study.
- DOI
- 10.2196/103912
- Published
- 2026 Oct 22
- Container
- JMIR medical informatics
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.2196/103912,
title = {Reducing Annotation Costs Using Knowledge Distillation for Label‑Efficient Negation Detection in Radiology Reports: Multisite Internal Validation Study.},
author = {Weng KH and Huang BL and Kuo YT and Chou YC and Hsieh TJ and Liu CF},
year = {2026},
journal = {JMIR medical informatics},
doi = {10.2196/103912},
url = {https://doi.org/10.2196/103912}
}RIS
TY - JOUR TI - Reducing Annotation Costs Using Knowledge Distillation for Label‑Efficient Negation Detection in Radiology Reports: Multisite Internal Validation Study. AU - Weng KH AU - Huang BL AU - Kuo YT AU - Chou YC AU - Hsieh TJ AU - Liu CF PY - 2026 JO - JMIR medical informatics DO - 10.2196/103912 UR - https://doi.org/10.2196/103912 ER -
APA
KH, W., BL, H., YT, K., YC, C., TJ, H., & CF, L. (2026). Reducing Annotation Costs Using Knowledge Distillation for Label‑Efficient Negation Detection in Radiology Reports: Multisite Internal Validation Study.. JMIR medical informatics. https://doi.org/10.2196/103912
Source records
- pubmed · retrieved 2026-11-10T08:04:27.977Z