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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7876096/
https://www.ncbi.nlm.nih.gov/pubmed/33568735
http://dx.doi.org/10.1038/s41598-021-82760-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7876096/
https://www.ncbi.nlm.nih.gov/pubmed/33568735
http://dx.doi.org/10.1038/s41598-021-82760-w

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