BronchoLumen: analysis of recent YOLO-based architectures for real-time bronchial orifice detection in video bronchoscopy

Yongchao Li, Marian Himstedt

Open source

DOI
10.1007/s11548-026-03741-w
Published
2026-06-29
Container
International Journal of Computer Assisted Radiology and Surgery
Publisher
Springer Science and Business Media LLC
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1007/s11548-026-03741-w,
  title = {BronchoLumen: analysis of recent YOLO-based architectures for real-time bronchial orifice detection in video bronchoscopy},
  author = {Yongchao Li and Marian Himstedt},
  year = {2026},
  journal = {International Journal of Computer Assisted Radiology and Surgery},
  doi = {10.1007/s11548-026-03741-w},
  url = {https://doi.org/10.1007/s11548-026-03741-w}
}

RIS

TY  - JOUR
TI  - BronchoLumen: analysis of recent YOLO-based architectures for real-time bronchial orifice detection in video bronchoscopy
AU  - Yongchao Li
AU  - Marian Himstedt
PY  - 2026
JO  - International Journal of Computer Assisted Radiology and Surgery
DO  - 10.1007/s11548-026-03741-w
UR  - https://doi.org/10.1007/s11548-026-03741-w
ER  - 

APA

Li, Y., & Himstedt, M. (2026). BronchoLumen: analysis of recent YOLO-based architectures for real-time bronchial orifice detection in video bronchoscopy. International Journal of Computer Assisted Radiology and Surgery. https://doi.org/10.1007/s11548-026-03741-w

Source records