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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Autors principals:	Beisheng Yang, Wenjie Li, Xiaojia Wu, Weijia Zhong, Jing Wang, Yu Zhou, Tianxing Huang, Lu Zhou, Zhiming Zhou
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2023-08-01
Col·lecció:	Diagnostics
Matèries:	intracranial aneurysm rupture radiomics machine learning computed tomography angiography
Accés en línia:	https://www.mdpi.com/2075-4418/13/16/2627
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