A Scalable, Annotation-Free Pipeline for Automated CT Pelvimetry: A Validation Study with Landmark Uncertainty Analysis and Clinical Correlation.
- DOI
- 10.1007/s10278-026-02167-9
- Published
- 2026 Jul 29
- Container
- Journal of imaging informatics in medicine
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s10278-026-02167-9,
title = {A Scalable, Annotation-Free Pipeline for Automated CT Pelvimetry: A Validation Study with Landmark Uncertainty Analysis and Clinical Correlation.},
author = {Huang SF and Tseng HP and Chen YH and Tan YL and Lee JP and Wu CC and Hsu CW},
year = {2026},
journal = {Journal of imaging informatics in medicine},
doi = {10.1007/s10278-026-02167-9},
url = {https://doi.org/10.1007/s10278-026-02167-9}
}RIS
TY - JOUR TI - A Scalable, Annotation-Free Pipeline for Automated CT Pelvimetry: A Validation Study with Landmark Uncertainty Analysis and Clinical Correlation. AU - Huang SF AU - Tseng HP AU - Chen YH AU - Tan YL AU - Lee JP AU - Wu CC AU - Hsu CW PY - 2026 JO - Journal of imaging informatics in medicine DO - 10.1007/s10278-026-02167-9 UR - https://doi.org/10.1007/s10278-026-02167-9 ER -
APA
SF, H., HP, T., YH, C., YL, T., JP, L., CC, W., & CW, H. (2026). A Scalable, Annotation-Free Pipeline for Automated CT Pelvimetry: A Validation Study with Landmark Uncertainty Analysis and Clinical Correlation.. Journal of imaging informatics in medicine. https://doi.org/10.1007/s10278-026-02167-9
Source records
- pubmed · retrieved 2026-09-26T03:25:06.065Z