Comparison of Ruptured Intracranial Aneurysms Identification Using Different Machine Learning Algorithms and Radiomics

Comparison of Ruptured Intracranial Aneurysms Identification Using Different Machine Learning Algorithms and Radiomics

Different machine learning algorithms have different characteristics and applicability. This study aims to predict ruptured intracranial aneurysms by radiomics models based on different machine learning algorithms and evaluate their differences in the same data condition. A total of 576 patients wit...

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Bibliographic Details
Main Authors: Beisheng Yang, Wenjie Li, Xiaojia Wu, Weijia Zhong, Jing Wang, Yu Zhou, Tianxing Huang, Lu Zhou, Zhiming Zhou
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Diagnostics
Subjects:
intracranial aneurysm
rupture
radiomics
machine learning
computed tomography angiography
Online Access:https://www.mdpi.com/2075-4418/13/16/2627

Internet

https://www.mdpi.com/2075-4418/13/16/2627

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