Noncontrast Computed Tomography-Based Radiomics Analysis in Discriminating Early Hematoma Expansion after Spontaneous Intracerebral Hemorrhage

OBJECTIVE: To determine whether noncontrast computed tomography (NCCT) models based on multivariable, radiomics features, and machine learning (ML) algorithms could further improve the discrimination of early hematoma expansion (HE) in patients with spontaneous intracerebral hemorrhage (sICH). MATER...

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Detalles Bibliográficos
Autores principales: Song, Zuhua, Guo, Dajing, Tang, Zhuoyue, Liu, Huan, Li, Xin, Luo, Sha, Yao, Xueying, Song, Wenlong, Song, Junjie, Zhou, Zhiming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Radiology 2021
Materias:
Neuroimaging and Head & Neck
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7909850/
https://www.ncbi.nlm.nih.gov/pubmed/33169546
http://dx.doi.org/10.3348/kjr.2020.0254

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7909850/
https://www.ncbi.nlm.nih.gov/pubmed/33169546
http://dx.doi.org/10.3348/kjr.2020.0254

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