External validation study on the value of deep learning algorithm for the prediction of hematoma expansion from noncontrast CT scans

BACKGROUND: Hematoma expansion is an independent predictor of patient outcome and mortality. The early diagnosis of hematoma expansion is crucial for selecting clinical treatment options. This study aims to explore the value of a deep learning algorithm for the prediction of hematoma expansion from...

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Detalles Bibliográficos
Autores principales: Guo, Dong Chuang, Gu, Jun, He, Jian, Chu, Hai Rui, Dong, Na, Zheng, Yi Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8922885/
https://www.ncbi.nlm.nih.gov/pubmed/35287616
http://dx.doi.org/10.1186/s12880-022-00772-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8922885/
https://www.ncbi.nlm.nih.gov/pubmed/35287616
http://dx.doi.org/10.1186/s12880-022-00772-y

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