Fully Automatic Volume Segmentation Using Deep Learning Approaches to Assess the Thoracic Aorta, Visceral Abdominal Aorta, and Visceral Vasculature

FAVS provides accurate, efficient segmentation of the thoracic and visceral aorta, delivering performance comparable to manual segmentation by expert physicians. This technology may enhance clinical workflows for monitoring and planning treatments for complex abdominal and thoraco-abdominal aortic aneurysms.

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Publication Details

Journal
European Journal of Vascular and Endovascular Surgery
Published
2025-08-01
DOI
https://doi.org/10.1016/j.ejvs.2025.08.025
Citations
2
Primary Topic
Aortic aneurysm repair treatments
Type
article
Field-Weighted Citation Impact
3.04

Funders

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article

Fully Automatic Volume Segmentation Using Deep Learning Approaches to Assess the Thoracic Aorta, Visceral Abdominal Aorta, and Visceral Vasculature

Colin Bicknell, E Charles, Xavier Bérard, Anna Louise Pouncey et al.
2 citations
European Journal of Vascular and Endovascular Surgery
Aortic aneurysm repair treatments
3.04
article

Fully Automatic Volume Segmentation Using Deep Learning Approaches to Assess the Thoracic Aorta, Visceral Abdominal Aorta, and Visceral Vasculature

Colin Bicknell, E Charles, Xavier Bérard, Anna Louise Pouncey, Caroline Caradu, Éric Ducasse
article en
2 citations

Abstract

FAVS provides accurate, efficient segmentation of the thoracic and visceral aorta, delivering performance comparable to manual segmentation by expert physicians. This technology may enhance clinical workflows for monitoring and planning treatments for complex abdominal and thoraco-abdominal aortic aneurysms.

European Journal of Vascular and Endovascular Surgery
Imperial College London (GB)
NIHR Imperial Biomedical Research Centre
Decent work and economic growth
Openalex Percentile: Top 8%
Aortic aneurysm repair treatments
3.04
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