Automatic Segmentation of Abdominal Aortic Aneurysm From Computed Tomography Angiography Using a Patch-Based Dilated UNet Model

Automatic Segmentation of Abdominal Aortic Aneurysm From Computed Tomography Angiography Using a Patch-Based Dilated UNet Model

Abdominal Aortic Aneurysm (AAA) is still a socially relevant public health challenge, evidenced by an 82.1% increase in associated fatalities from 1990 to 2019 (with 172,427 deaths in 2019 alone). In a clinical setting, computed tomography angiography (CTA) is the imaging modality of choice for moni...

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Bibliographic Details
Main Authors: Merjulah Roby, Juan C. Restrepo, Haehwan Park, Satish C. Muluk, Mark K. Eskandari, Seungik Baek, Ender A. Finol
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Abdominal aortic aneurysm
deep learning
image segmentation
computed tomography imaging
NURBS
Online Access:https://ieeexplore.ieee.org/document/10850917/
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