Deep learning-based segmentation of acute pulmonary embolism in cardiac CT images
We applied two state-of-the-art networks for automatic APE segmentation to our compiled CTPA dataset and achieved superior experimental results compared to the current state of the art. In clinical routine, accurate APE segmentations can be used for enhanced patient prognosis and treatment planning.
Authors
- Sylvia Saalfeld (ORCID: https://orcid.org/0000-0002-7002-7917)
- Ehsan Amini
- Janine Hürtgen (ORCID: https://orcid.org/0000-0001-7050-8828)
- Georg Hille
- Alexey Surov
Institutions
- University Hospital Schleswig-Holstein (DE)
- Johannes Wesling Klinikum Minden (DE)
- University of Lübeck (DE)
- Otto-von-Guericke-Universität Magdeburg (DE)
Publication Details
- Journal
- International Journal of Computer Assisted Radiology and Surgery
- Published
- 2025-09-25
- DOI
- https://doi.org/10.1007/s11548-025-03503-0
- Citations
- 1
- Primary Topic
- Venous Thromboembolism Diagnosis and Management
- Type
- article
- Field-Weighted Citation Impact
- 1.87