Machine Learning–Based Prediction of Small Intracranial Aneurysm Rupture Status Using CTA-Derived Hemodynamics: A Multicenter Study

BACKGROUND AND PURPOSE: Small intracranial aneurysms are being increasingly detected while the rupture risk is not well-understood. We aimed to develop rupture-risk models of small aneurysms by combining clinical, morphologic, and hemodynamic information based on machine learning techniques and to t...

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Salvato in:
Dettagli Bibliografici
Pubblicato in:AJNR Am J Neuroradiol
Autori principali: Shi, Z., Chen, G.Z., Mao, L., Li, X.L., Zhou, C.S., Xia, S., Zhang, Y.X., Zhang, B., Hu, B., Lu, G.M., Zhang, L.J.
Natura: Artigo
Lingua:Inglês
Pubblicazione: American Society of Neuroradiology 2021
Soggetti:
Adult Brain
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC8041003/
https://ncbi.nlm.nih.gov/pubmed/33664115
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3174/ajnr.A7034
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