Carotid atherosclerotic plaque segmentation in multi-weighted MRI using a two-stage neural network: advantages of training with high-resolution imaging and histology

Carotid atherosclerotic plaque segmentation in multi-weighted MRI using a two-stage neural network: advantages of training with high-resolution imaging and histology

IntroductionA reliable and automated method to segment and classify carotid artery atherosclerotic plaque components is needed to efficiently analyze multi-weighted magnetic resonance (MR) images to allow their integration into patient risk assessment for ischemic stroke. Certain plaque components s...

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Bibliographic Details
Main Authors: Ran Li, Jie Zheng, Mohamed A. Zayed, Jeffrey E. Saffitz, Pamela K. Woodard, Abhinav K. Jha
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-05-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
atherosclerotic plaque
MR images
segmentation
CNN
BNN
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2023.1127653/full

Internet

https://www.frontiersin.org/articles/10.3389/fcvm.2023.1127653/full

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