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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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| 出版年: | Korean J Radiol |
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| 主要な著者: | , , , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
The Korean Society of Radiology
2021
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| 主題: | |
| オンライン･アクセス: | 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 |
| タグ: |
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