Validation of an automated AI-based micro-CT organ segmentation workflow against expert annotations and its impact on fluorescence quantification.
- DOI
- 10.1186/s41747-026-00742-x
- Published
- 2026 May 29
- Container
- European radiology experimental
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1186/s41747-026-00742-x,
title = {Validation of an automated AI-based micro-CT organ segmentation workflow against expert annotations and its impact on fluorescence quantification.},
author = {Rama E and Yu S and Schraven S and Gurberg Z and Savina E and Liu J and Magnuska ZA and Gremse F and Kiessling F},
year = {2026},
journal = {European radiology experimental},
doi = {10.1186/s41747-026-00742-x},
url = {https://doi.org/10.1186/s41747-026-00742-x}
}RIS
TY - JOUR TI - Validation of an automated AI-based micro-CT organ segmentation workflow against expert annotations and its impact on fluorescence quantification. AU - Rama E AU - Yu S AU - Schraven S AU - Gurberg Z AU - Savina E AU - Liu J AU - Magnuska ZA AU - Gremse F AU - Kiessling F PY - 2026 JO - European radiology experimental DO - 10.1186/s41747-026-00742-x UR - https://doi.org/10.1186/s41747-026-00742-x ER -
APA
E, R., S, Y., S, S., Z, G., E, S., J, L., ZA, M., F, G., & F, K. (2026). Validation of an automated AI-based micro-CT organ segmentation workflow against expert annotations and its impact on fluorescence quantification.. European radiology experimental. https://doi.org/10.1186/s41747-026-00742-x
Source records
- pubmed · retrieved 2026-09-26T10:15:13.096Z