Automated CT segmentation of kidneys successfully quantifies changes in total kidney volume in ICU patients, a retrospective cohort study.

Biersma AGW, van Leer B, Renes MH, Pillay J, Koeze J

Open source

DOI
10.1186/s12882-026-04834-z
Published
2026 Mar 26
Container
BMC nephrology
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1186/s12882-026-04834-z,
  title = {Automated CT segmentation of kidneys successfully quantifies changes in total kidney volume in ICU patients, a retrospective cohort study.},
  author = {Biersma AGW and van Leer B and Renes MH and Pillay J and Koeze J},
  year = {2026},
  journal = {BMC nephrology},
  doi = {10.1186/s12882-026-04834-z},
  url = {https://doi.org/10.1186/s12882-026-04834-z}
}

RIS

TY  - JOUR
TI  - Automated CT segmentation of kidneys successfully quantifies changes in total kidney volume in ICU patients, a retrospective cohort study.
AU  - Biersma AGW
AU  - van Leer B
AU  - Renes MH
AU  - Pillay J
AU  - Koeze J
PY  - 2026
JO  - BMC nephrology
DO  - 10.1186/s12882-026-04834-z
UR  - https://doi.org/10.1186/s12882-026-04834-z
ER  - 

APA

AGW, B., B, V. L., MH, R., J, P., & J, K. (2026). Automated CT segmentation of kidneys successfully quantifies changes in total kidney volume in ICU patients, a retrospective cohort study.. BMC nephrology. https://doi.org/10.1186/s12882-026-04834-z

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