The Effect of Deep Learning-Based QSM Magnetic Resonance Imaging on the Subthalamic Nucleus

In order to study the influence of quantitative magnetic susceptibility mapping (QSM) on them. A 2.5D Attention U-Net Network based on multiple input and multiple output, a method for segmenting RN, SN, and STN regions in high-resolution QSM images is proposed, and deep learning realizes accurate se...

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Detalles Bibliográficos
Autores principales: Liu, Yuanqin, Zhang, Qinglu, Liu, Lingchong, Li, Cuiling, Zhang, Rongwei, Liu, Guangcun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8457984/
https://www.ncbi.nlm.nih.gov/pubmed/34567489
http://dx.doi.org/10.1155/2021/8554182

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8457984/
https://www.ncbi.nlm.nih.gov/pubmed/34567489
http://dx.doi.org/10.1155/2021/8554182

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