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

Abstract 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 expansi...

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Detalhes bibliográficos

Principais autores:	Dong Chuang Guo, Jun Gu, Jian He, Hai Rui Chu, Na Dong, Yi Feng Zheng
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2022-03-01
Colecção:	BMC Medical Imaging
Assuntos:	Artificial intelligence Hypertensive intracerebral hemorrhage Hematoma expansion Early diagnosis
Acesso em linha:	https://doi.org/10.1186/s12880-022-00772-y
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