Quality Control in the Corneal Bank with Artificial Intelligence: Comparison of a New Deep Learning-based Approach with Conventional Endothelial Cell Counting by the "Rhine-Tec Endothelial Analysis System".
- DOI
- 10.1055/a-2299-8117
- Published
- 2024 Jun
- Container
- Klinische Monatsblatter fur Augenheilkunde
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1055/a-2299-8117,
title = {Quality Control in the Corneal Bank with Artificial Intelligence: Comparison of a New Deep Learning-based Approach with Conventional Endothelial Cell Counting by the "Rhine-Tec Endothelial Analysis System".},
author = {Dreesbach M and Böhringer D and Betancor PK and Glegola M and Maier PC and Reinhard T and Heinzelmann S},
year = {2024},
journal = {Klinische Monatsblatter fur Augenheilkunde},
doi = {10.1055/a-2299-8117},
url = {https://doi.org/10.1055/a-2299-8117}
}RIS
TY - JOUR TI - Quality Control in the Corneal Bank with Artificial Intelligence: Comparison of a New Deep Learning-based Approach with Conventional Endothelial Cell Counting by the "Rhine-Tec Endothelial Analysis System". AU - Dreesbach M AU - Böhringer D AU - Betancor PK AU - Glegola M AU - Maier PC AU - Reinhard T AU - Heinzelmann S PY - 2024 JO - Klinische Monatsblatter fur Augenheilkunde DO - 10.1055/a-2299-8117 UR - https://doi.org/10.1055/a-2299-8117 ER -
APA
M, D., D, B., PK, B., M, G., PC, M., T, R., & S, H. (2024). Quality Control in the Corneal Bank with Artificial Intelligence: Comparison of a New Deep Learning-based Approach with Conventional Endothelial Cell Counting by the "Rhine-Tec Endothelial Analysis System".. Klinische Monatsblatter fur Augenheilkunde. https://doi.org/10.1055/a-2299-8117
Source records
- pubmed · retrieved 2026-09-27T16:05:26.142Z