Deep Learning-Based Automated Detection of Arterial Vessel Wall and Plaque on Magnetic Resonance Vessel Wall Images

PURPOSE: To develop and evaluate an automatic segmentation method of arterial vessel walls and plaques, which is beneficial for facilitating the arterial morphological quantification in magnetic resonance vessel wall imaging (MRVWI). METHODS: MRVWI images acquired from 124 patients with atherosclero...

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Detalles Bibliográficos
Autores principales: Xu, Wenjing, Yang, Xiong, Li, Yikang, Jiang, Guihua, Jia, Sen, Gong, Zhenhuan, Mao, Yufei, Zhang, Shuheng, Teng, Yanqun, Zhu, Jiayu, He, Qiang, Wan, Liwen, Liang, Dong, Li, Ye, Hu, Zhanli, Zheng, Hairong, Liu, Xin, Zhang, Na
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9198483/
https://www.ncbi.nlm.nih.gov/pubmed/35720719
http://dx.doi.org/10.3389/fnins.2022.888814

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9198483/
https://www.ncbi.nlm.nih.gov/pubmed/35720719
http://dx.doi.org/10.3389/fnins.2022.888814

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