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

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

BackgroundThe 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.PurposeWe aim to build an integrated model to improve the assessment of the rupture risk of IAs.Materials and...

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Bibliographic Details
Main Authors: Rong Chen, Xiao Mo, Zhenpeng Chen, Pujie Feng, Haiyun Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Neurology
Subjects:
intracranial aneurysm
rupture risk
deep learning
machine learning
hemodynamic cloud
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2022.868395/full

Internet

https://www.frontiersin.org/articles/10.3389/fneur.2022.868395/full

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