Hierarchical deep learning pipeline for robust cervical parameter measurement in radiographs with C7 obscuration.

Kang DH, Park SJ, Park JS, Park H, Lee CS

DOI: 10.1038/s41746-026-02455-2
Published: 2026 Feb 19
Container: NPJ digital medicine
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41746-026-02455-2,
  title = {Hierarchical deep learning pipeline for robust cervical parameter measurement in radiographs with C7 obscuration.},
  author = {Kang DH and Park SJ and Park JS and Park H and Lee CS},
  year = {2026},
  journal = {NPJ digital medicine},
  doi = {10.1038/s41746-026-02455-2},
  url = {https://doi.org/10.1038/s41746-026-02455-2}
}

RIS

TY  - JOUR
TI  - Hierarchical deep learning pipeline for robust cervical parameter measurement in radiographs with C7 obscuration.
AU  - Kang DH
AU  - Park SJ
AU  - Park JS
AU  - Park H
AU  - Lee CS
PY  - 2026
JO  - NPJ digital medicine
DO  - 10.1038/s41746-026-02455-2
UR  - https://doi.org/10.1038/s41746-026-02455-2
ER  -

APA

DH, K., SJ, P., JS, P., H, P., & CS, L. (2026). Hierarchical deep learning pipeline for robust cervical parameter measurement in radiographs with C7 obscuration.. NPJ digital medicine. https://doi.org/10.1038/s41746-026-02455-2

Source records

pubmed · retrieved 2026-09-26T18:44:55.590Z