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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Detalhes bibliográficos

Principais autores:	Beisheng Yang, Wenjie Li, Xiaojia Wu, Weijia Zhong, Jing Wang, Yu Zhou, Tianxing Huang, Lu Zhou, Zhiming Zhou
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2023-08-01
Colecção:	Diagnostics
Assuntos:	intracranial aneurysm rupture radiomics machine learning computed tomography angiography
Acesso em linha:	https://www.mdpi.com/2075-4418/13/16/2627
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