Machine learning-based CT radiomics model to discriminate the primary and secondary intracranial hemorrhage

It is challenging to distinguish between primary and secondary intracranial hemorrhage (ICH) purely by imaging data, and the two forms of ICHs are treated differently. This study aims to evaluate the potential of CT-based machine learning to identify the etiology of ICHs and compare the effectivenes...

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Detalles Bibliográficos
Autores principales: Lyu, Jianbo, Xu, Zhaohui, Sun, HaiYan, Zhai, Fangbing, Qu, Xiaofeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9988881/
https://www.ncbi.nlm.nih.gov/pubmed/36879050
http://dx.doi.org/10.1038/s41598-023-30678-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9988881/
https://www.ncbi.nlm.nih.gov/pubmed/36879050
http://dx.doi.org/10.1038/s41598-023-30678-w

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