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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Опубликовано в: :Korean J Radiol
Главные авторы: Song, Zuhua, Guo, Dajing, Tang, Zhuoyue, Liu, Huan, Li, Xin, Luo, Sha, Yao, Xueying, Song, Wenlong, Song, Junjie, Zhou, Zhiming
Формат: Artigo
Язык:Inglês
Опубликовано: The Korean Society of Radiology 2021
Предметы:
Neuroimaging and Head & Neck
Online-ссылка: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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