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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
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 |
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