CeCILE - An Artificial Intelligence Based Cell-Detection for the Evaluation of Radiation Effects in Eucaryotic Cells
- DOI
- 10.3389/fonc.2021.688333
- Published
- 2021-06-30
- Container
- Frontiers in Oncology
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/fonc.2021.688333,
title = {CeCILE - An Artificial Intelligence Based Cell-Detection for the Evaluation of Radiation Effects in Eucaryotic Cells},
author = {Sarah Rudigkeit and Julian B. Reindl and Nicole Matejka and Rika Ramson and Matthias Sammer and Günther Dollinger and Judith Reindl},
year = {2021},
journal = {Frontiers in Oncology},
doi = {10.3389/fonc.2021.688333},
url = {https://doi.org/10.3389/fonc.2021.688333}
}RIS
TY - JOUR TI - CeCILE - An Artificial Intelligence Based Cell-Detection for the Evaluation of Radiation Effects in Eucaryotic Cells AU - Sarah Rudigkeit AU - Julian B. Reindl AU - Nicole Matejka AU - Rika Ramson AU - Matthias Sammer AU - Günther Dollinger AU - Judith Reindl PY - 2021 JO - Frontiers in Oncology DO - 10.3389/fonc.2021.688333 UR - https://doi.org/10.3389/fonc.2021.688333 ER -
APA
Rudigkeit, S., Reindl, J. B., Matejka, N., Ramson, R., Sammer, M., Dollinger, G., & Reindl, J. (2021). CeCILE - An Artificial Intelligence Based Cell-Detection for the Evaluation of Radiation Effects in Eucaryotic Cells. Frontiers in Oncology. https://doi.org/10.3389/fonc.2021.688333
Source records
- crossref · retrieved 2026-09-25T22:40:55.398Z