Advancing ischemic stroke diagnosis and clinical outcome prediction using improved ensemble techniqu...
Advancing ischemic stroke diagnosis and clinical outcome prediction using improved ensemble techniques in DSC-PWI radiomics
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Author / Creator
Yassin, Mazen M. , Lu, Jiaxi , Zaman, Asim , Yang, Huihui , Cao, Anbo , Zeng, Xueqiang , Hassan, Haseeb , Han, Taiyu , Miao, Xiaoqiang , Shi, Yongkang , Guo, Yingwei , Luo, Yu and Kang, Yan
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
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Scope and Contents
Contents
Ischemic stroke is a leading global cause of death and disability and is expected to rise in the future. The present diagnostic techniques, like CT and MRI, have some limitations in distinguishing acute from chronic ischemia and in early ischemia detection. This study investigates the function of ensemble models based on the dynamic radiomics featu...
Alternative Titles
Full title
Advancing ischemic stroke diagnosis and clinical outcome prediction using improved ensemble techniques in DSC-PWI radiomics
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_f05cad84c4ff4cc896b1cf8bac7a2700
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f05cad84c4ff4cc896b1cf8bac7a2700
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-024-78353-y
