Automatic detection of foreign objects and contaminants in colonoscopic video data using deep learning

Kress Veronika, Wittenberg Thomas, Raithel Martin, Bruns Volker, Lehmann Edgar, Eixelberger Thomas, Hackner Ralf

Open source

DOI: 10.1515/cdbme-2022-1082
Published: 9
Container: Current Directions in Biomedical Engineering
Publisher: Not recorded
Open access: yes

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uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

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Cite this work

BibTeX

@article{allodium:10.1515/cdbme-2022-1082,
  title = {Automatic detection of foreign objects and contaminants in colonoscopic video data using deep learning},
  author = {Kress Veronika and Wittenberg Thomas and Raithel Martin and Bruns Volker and Lehmann Edgar and Eixelberger Thomas and Hackner Ralf},
  year = {2022},
  journal = {Current Directions in Biomedical Engineering},
  doi = {10.1515/cdbme-2022-1082},
  url = {https://doi.org/10.1515/cdbme-2022-1082}
}

RIS

TY  - JOUR
TI  - Automatic detection of foreign objects and contaminants in colonoscopic video data using deep learning
AU  - Kress Veronika
AU  - Wittenberg Thomas
AU  - Raithel Martin
AU  - Bruns Volker
AU  - Lehmann Edgar
AU  - Eixelberger Thomas
AU  - Hackner Ralf
PY  - 2022
JO  - Current Directions in Biomedical Engineering
DO  - 10.1515/cdbme-2022-1082
UR  - https://doi.org/10.1515/cdbme-2022-1082
ER  -

APA

Veronika, K., Thomas, W., Martin, R., Volker, B., Edgar, L., Thomas, E., & Ralf, H. (2022). Automatic detection of foreign objects and contaminants in colonoscopic video data using deep learning. Current Directions in Biomedical Engineering. https://doi.org/10.1515/cdbme-2022-1082

Source records

doaj · retrieved 2026-09-26T15:51:45.530Z