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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Detalles Bibliográficos
Autores principales: Yang, Beisheng, Li, Wenjie, Wu, Xiaojia, Zhong, Weijia, Wang, Jing, Zhou, Yu, Huang, Tianxing, Zhou, Lu, Zhou, Zhiming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453422/
https://www.ncbi.nlm.nih.gov/pubmed/37627886
http://dx.doi.org/10.3390/diagnostics13162627

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453422/
https://www.ncbi.nlm.nih.gov/pubmed/37627886
http://dx.doi.org/10.3390/diagnostics13162627

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