Computed tomography-based automated measurement of abdominal aortic aneurysm using semantic segmentation with active learning

Computed tomography-based automated measurement of abdominal aortic aneurysm using semantic segmentation with active learning

Abstract Accurate measurement of abdominal aortic aneurysm is essential for selecting suitable stent-grafts to avoid complications of endovascular aneurysm repair. However, the conventional image-based measurements are inaccurate and time-consuming. We introduce the automated workflow including sema...

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Bibliographic Details
Main Authors: Taehun Kim, Sungchul On, Jun Gyo Gwon, Namkug Kim
Format: Article
Language:English
Published: Nature Portfolio 2024-04-01
Series:Scientific Reports
Subjects:
Abdominal aortic aneurysm
Active learning
Application programming interface
Computer-aided design
Deep learning
Endovascular abdominal repair stent graft
Online Access:https://doi.org/10.1038/s41598-024-59735-8

Internet

https://doi.org/10.1038/s41598-024-59735-8

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