Classifying Ruptured Middle Cerebral Artery Aneurysms With a Machine Learning Based, Radiomics-Morphological Model: A Multicentral Study

OBJECTIVE: Radiomics and morphological features were associated with aneurysms rupture. However, the multicentral study of their predictive power for specific-located aneurysms rupture is rare. We aimed to determine robust radiomics features related to middle cerebral artery (MCA) aneurysms rupture...

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Detalles Bibliográficos
Autores principales: Zhu, Dongqin, Chen, Yongchun, Zheng, Kuikui, Chen, Chao, Li, Qiong, Zhou, Jiafeng, Jia, Xiufen, Xia, Nengzhi, Wang, Hao, Lin, Boli, Ni, Yifei, Pang, Peipei, Yang, Yunjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8385786/
https://www.ncbi.nlm.nih.gov/pubmed/34456680
http://dx.doi.org/10.3389/fnins.2021.721268

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8385786/
https://www.ncbi.nlm.nih.gov/pubmed/34456680
http://dx.doi.org/10.3389/fnins.2021.721268

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