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Improving the diagnosis of acute ischemic stroke on non-contrast CT using deep learning: a multicenter study

OBJECTIVE: This study aimed to develop a deep learning (DL) model to improve the diagnostic performance of EIC and ASPECTS in acute ischemic stroke (AIS). METHODS: Acute ischemic stroke patients were retrospectively enrolled from 5 hospitals. We proposed a deep learning model to simultaneously segme...

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Detalles Bibliográficos
Autores principales:	Chen, Weidao, Wu, Jiangfen, Wei, Ren, Wu, Shuang, Xia, Chen, Wang, Dawei, Liu, Daliang, Zheng, Longmei, Zou, Tianyu, Li, Ruijiang, Qi, Xianrong, Zhang, Xiaotong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer Vienna 2022
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9723089/ https://www.ncbi.nlm.nih.gov/pubmed/36471022 http://dx.doi.org/10.1186/s13244-022-01331-3

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