Carotid plaque segmentation and classification using MRI-based plaque texture analysis and convolutional neural network

Carotid plaque segmentation and classification using MRI-based plaque texture analysis and convolutional neural network

BackgroundAccurate segmentation and classification of carotid plaques are critical for assessing stroke risk. However, conventional methods are hindered by manual intervention, inter-observer variability, and poor generalizability across heterogeneous datasets, limiting their clinical utility.Method...

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Bibliographic Details
Main Authors: Zakarya Hasan Ahmed Abu Alregal, Gehad Abdullah Amran, Ali A. Al-Bakhrani, Saleh Abdul Amir Mohammad, Amerah Alabrah, Lubna Alkhalil, Abdalla Ibrahim, Maryam Ghaffar
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Medicine
Subjects:
carotid plaque classification
MRI
stroke risk assessment
plaque texture analysis
deep learning
segmented plaques
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2025.1502830/full
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https://www.frontiersin.org/articles/10.3389/fmed.2025.1502830/full

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