Automated in-depth cerebral arterial labelling using cerebrovascular vasculature reframing and deep neural networks

Identifying the cerebral arterial branches is essential for undertaking a computational approach to cerebrovascular imaging. However, the complexity and inter-individual differences involved in this process have not been thoroughly studied. We used machine learning to examine the anatomical profile...

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Detalles Bibliográficos
Autores principales: Hong, Suk-Woo, Song, Ha-Na, Choi, Jong-Un, Cho, Hwan-Ho, Baek, In-Young, Lee, Ji-Eun, Kim, Yoon-Chul, Chung, Darda, Chung, Jong-Won, Bang, Oh-Young, Kim, Gyeong-Moon, Park, Hyun-Jin, Liebeskind, David S., Seo, Woo-Keun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9957982/
https://www.ncbi.nlm.nih.gov/pubmed/36828857
http://dx.doi.org/10.1038/s41598-023-30234-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9957982/
https://www.ncbi.nlm.nih.gov/pubmed/36828857
http://dx.doi.org/10.1038/s41598-023-30234-6

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