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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Détails bibliographiques
Publié dans:Korean J Radiol
Auteurs principaux: Song, Zuhua, Guo, Dajing, Tang, Zhuoyue, Liu, Huan, Li, Xin, Luo, Sha, Yao, Xueying, Song, Wenlong, Song, Junjie, Zhou, Zhiming
Format: Artigo
Langue:Inglês
Publié: The Korean Society of Radiology 2021
Sujets:
Neuroimaging and Head & Neck
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC7909850/
https://ncbi.nlm.nih.gov/pubmed/33169546
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3348/kjr.2020.0254
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