Bi-attention DoubleUNet: A deep learning approach for carotid artery segmentation in transverse view images for non-invasive stenosis diagnosis

Bi-attention DoubleUNet: A deep learning approach for carotid artery segmentation in transverse view images for non-invasive stenosis diagnosis

The carotid artery is a vital blood vessel that supplies oxygenated blood to the brain. Blockages in this artery can lead to life-threatening illnesses, making accurate diagnosis essential. While ultrasound (US) imaging is the primary diagnostic tool, evaluations by trained operators can be subjecti...

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Bibliographic Details
Main Author: Najmath, Ottakath (author)
Other Authors: Akbari, Younes (author), Al-Maadeed, Somaya Ali (author), Bouridane, Ahmed (author), Zughaier, Susu M. (author), Chowdhury, Muhammad E.H. (author)
Format: article
Published: 2024
Subjects:
Carotid artery segmentation
Transverse mode
Attention network
DoubleUnet
Bottleneck attention module
Online Access:http://dx.doi.org/10.1016/j.bspc.2024.106350
https://www.sciencedirect.com/science/article/pii/S1746809424004087
http://hdl.handle.net/10576/55190
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http://dx.doi.org/10.1016/j.bspc.2024.106350
https://www.sciencedirect.com/science/article/pii/S1746809424004087
http://hdl.handle.net/10576/55190

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