Assessing robustness of carotid artery CT angiography radiomics in the identification of culprit lesions in cerebrovascular events

Radiomics, quantitative feature extraction from radiological images, can improve disease diagnosis and prognostication. However, radiomic features are susceptible to image acquisition and segmentation variability. Ideally, only features robust to these variations would be incorporated into predictiv...

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Detalhes bibliográficos
Publicado no:Sci Rep
Main Authors: Le, Elizabeth P. V., Rundo, Leonardo, Tarkin, Jason M., Evans, Nicholas R., Chowdhury, Mohammed M., Coughlin, Patrick A., Pavey, Holly, Wall, Chris, Zaccagna, Fulvio, Gallagher, Ferdia A., Huang, Yuan, Sriranjan, Rouchelle, Le, Anthony, Weir-McCall, Jonathan R., Roberts, Michael, Gilbert, Fiona J., Warburton, Elizabeth A., Schönlieb, Carola-Bibiane, Sala, Evis, Rudd, James H. F.
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2021
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7876096/
https://ncbi.nlm.nih.gov/pubmed/33568735
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-82760-w
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