AortaSeg-60: an open real-world CT-angiography dataset of the aorta with automated segmentation masks and pathological variability.

El Rahal D, Rotzinger DC, Fahrni G.

Open source

DOI: 10.46471/gigabyte.183
Published: 2026-05-20
Container: GigaByte
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.46471/gigabyte.183,
  title = {AortaSeg-60: an open real-world CT-angiography dataset of the aorta with automated segmentation masks and pathological variability.},
  author = {El Rahal D and  Rotzinger DC and  Fahrni G.},
  year = {2026},
  journal = {GigaByte},
  doi = {10.46471/gigabyte.183},
  url = {https://doi.org/10.46471/gigabyte.183}
}

RIS

TY  - JOUR
TI  - AortaSeg-60: an open real-world CT-angiography dataset of the aorta with automated segmentation masks and pathological variability.
AU  - El Rahal D
AU  -  Rotzinger DC
AU  -  Fahrni G.
PY  - 2026
JO  - GigaByte
DO  - 10.46471/gigabyte.183
UR  - https://doi.org/10.46471/gigabyte.183
ER  -

APA

D, E. R., DC, R., & G., F. (2026). AortaSeg-60: an open real-world CT-angiography dataset of the aorta with automated segmentation masks and pathological variability.. GigaByte. https://doi.org/10.46471/gigabyte.183

Source records

europe-pmc · retrieved 2026-09-24T23:07:15.545Z
doaj · retrieved 2026-09-24T23:07:15.579Z