MSEUnet: Refined Intima-media segmentation of the carotid artery based on a multi-scale approach using patch-wise dice loss

MSEUnet: Refined Intima-media segmentation of the carotid artery based on a multi-scale approach using patch-wise dice loss

<p>Carotid artery stenosis risk stratification is one of the most sought-after methods for diagnosing the chances of stroke. There is an inherent requirement to identify the risk before its onset through techniques such as ultrasound imaging. The carotid artery intima-media thickness, a marker...

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Bibliographic Details
Main Author: Najmath Ottakath (17430912) (author)
Other Authors: Younes Akbari (16303286) (author), Somaya Al Maadeed (20090823) (author), Mohammad E.H. Chowdhury (20090826) (author), Susu Zughaier (367245) (author), Ahmed Bouridane (2270131) (author), Kishor Kumar Sadasivuni (8036039) (author)
Published: 2025
Subjects:
Engineering
Biomedical engineering
Information and computing sciences
Machine learning
Carotid Artery intima-media
Medical image segmentation
Multi-scale squeeze and excite Unet
Patch-wise dice loss function
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