Determining acute ischemic stroke onset time using machine learning and radiomics features of infarc...
Determining acute ischemic stroke onset time using machine learning and radiomics features of infarct lesions and whole brain
About this item
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Author / Creator
Lu, Jiaxi , Guo, Yingwei , Wang, Mingming , Luo, Yu , Zeng, Xueqiang , Miao, Xiaoqiang , Zaman, Asim , Yang, Huihui , Cao, Anbo and Kang, Yan
Publisher
United States: AIMS Press
Journal title
Language
English
Formats
Publication information
Publisher
United States: AIMS Press
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Scope and Contents
Contents
Accurate determination of the onset time in acute ischemic stroke (AIS) patients helps to formulate more beneficial treatment plans and plays a vital role in the recovery of patients. Considering that the whole brain may contain some critical information, we combined the Radiomics features of infarct lesions and whole brain to improve the predictio...
Alternative Titles
Full title
Determining acute ischemic stroke onset time using machine learning and radiomics features of infarct lesions and whole brain
Authors, Artists and Contributors
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_b9d5e72d4e4141ae88b4a894a1cb85c3
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b9d5e72d4e4141ae88b4a894a1cb85c3
Other Identifiers
ISSN
1551-0018
E-ISSN
1551-0018
DOI
10.3934/mbe.2024002
