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

INTRODUCTION: A 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...

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Detalles Bibliográficos
Autores principales: Li, Ran, Zheng, Jie, Zayed, Mohamed A., Saffitz, Jeffrey E., Woodard, Pamela K., Jha, Abhinav K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10244753/
https://www.ncbi.nlm.nih.gov/pubmed/37293278
http://dx.doi.org/10.3389/fcvm.2023.1127653

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10244753/
https://www.ncbi.nlm.nih.gov/pubmed/37293278
http://dx.doi.org/10.3389/fcvm.2023.1127653

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