Deep Learning for Accurate Segmentation of Venous Thrombus from Black-Blood Magnetic Resonance Images: A Multicenter Study

OBJECTIVE: Deep vein thrombosis (DVT) is the third-largest cardiovascular disease, and accurate segmentation of venous thrombus from the black-blood magnetic resonance (MR) images can provide additional information for personalized DVT treatment planning. Therefore, a deep learning network is propos...

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Detalles Bibliográficos
Autores principales: Sun, Chuanqi, Xiong, Xiangyu, Zhang, Tianjing, Guan, Xiuhong, Mao, Huan, Yang, Jing, Zhang, Xiaoyong, Sun, Yi, Chen, Hao, Xie, Guoxi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8692022/
https://www.ncbi.nlm.nih.gov/pubmed/34950733
http://dx.doi.org/10.1155/2021/4989297

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8692022/
https://www.ncbi.nlm.nih.gov/pubmed/34950733
http://dx.doi.org/10.1155/2021/4989297

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