Validation of an automated AI-based micro-CT organ segmentation workflow against expert annotations and its impact on fluorescence quantification.

Rama E, Yu S, Schraven S, Gurberg Z, Savina E, Liu J, Magnuska ZA, Gremse F, Kiessling F

Open source

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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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

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