Automatic Segmentation of Cardiovascular Structures on Chest CT Data Sets: An Update of the TotalSegmentator
Accurate segmentations and enhanced segmentations of previously included CV structures were successfully implemented. This suggests further usage in research studies while still running on conventional computers with or without a dedicated graphics processing unit.
Authors
- Jules Miazza (ORCID: https://orcid.org/0000-0003-1715-0593)
- Maurice Pradella (ORCID: https://orcid.org/0000-0003-2449-7835)
- Jens Bremerich (ORCID: https://orcid.org/0000-0002-1002-8483)
- Denis Berdajs (ORCID: https://orcid.org/0000-0003-0478-903X)
- Jakob Wasserthal (ORCID: https://orcid.org/0000-0002-9921-5698)
- Martin Segeroth (ORCID: https://orcid.org/0000-0001-7820-2778)
- Daniel Hinck (ORCID: https://orcid.org/0009-0003-1547-8103)
Institutions
- University of Basel (CH)
- University Hospital of Basel (CH)
- Hospital Base (CL)
Publication Details
- Journal
- European Journal of Radiology
- Published
- 2025-02-15
- DOI
- https://doi.org/10.1016/j.ejrad.2025.112006
- Citations
- 3
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 4.08