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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Bibliographic Details
Published in:Korean J Radiol
Main Authors: Song, Zuhua, Guo, Dajing, Tang, Zhuoyue, Liu, Huan, Li, Xin, Luo, Sha, Yao, Xueying, Song, Wenlong, Song, Junjie, Zhou, Zhiming
Format: Artigo
Language:Inglês
Published: The Korean Society of Radiology 2021
Subjects:
Neuroimaging and Head & Neck
Online Access: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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