Validation of a Deep Learning U-Net Algorithm for Multistructure Segmentation of Infrarenal Abdominal Aortic Aneurysms including Lumen, Thrombus, and Calcifications
The deep learning algorithm developed in this study provided valid, fast, and accurate aorto-iliac segmentation. This may be used to automatically generate reliable aortic digital twins for endovascular aortic repair planning.
Authors
- Abdelmalek Habi (ORCID: https://orcid.org/0000-0002-6589-1698)
- Lucie Derycke (ORCID: https://orcid.org/0000-0001-7172-1858)
- Florian Cotte (ORCID: https://orcid.org/0000-0001-8290-8124)
- Antoine Millon (ORCID: https://orcid.org/0000-0002-9863-3126)
- Asmaa Doudouh (ORCID: https://orcid.org/0009-0009-0395-8664)
- Jean-Noël Albertini
Institutions
- Hospices Civils de Lyon (FR)
- Hôpital Saint Joseph (FR)
- Hôpital Paris Saint-Joseph (FR)
- Hôpital Louis Pradel (FR)
Publication Details
- Journal
- EJVES Vascular Forum
- Published
- 2025-11-17
- DOI
- https://doi.org/10.1016/j.ejvsvf.2025.11.001
- Primary Topic
- Aortic aneurysm repair treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00