An Integrated Model Combining Machine Learning and Deep Learning Algorithms for Classification of Rupture Status of IAs

BACKGROUND: The rupture risk assessment of intracranial aneurysms (IAs) is clinically relevant. How to accurately assess the rupture risk of IAs remains a challenge in clinical decision-making. PURPOSE: We aim to build an integrated model to improve the assessment of the rupture risk of IAs. MATERIA...

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Detalles Bibliográficos
Autores principales: Chen, Rong, Mo, Xiao, Chen, Zhenpeng, Feng, Pujie, Li, Haiyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9133352/
https://www.ncbi.nlm.nih.gov/pubmed/35645962
http://dx.doi.org/10.3389/fneur.2022.868395

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9133352/
https://www.ncbi.nlm.nih.gov/pubmed/35645962
http://dx.doi.org/10.3389/fneur.2022.868395

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