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...

Descripción completa

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

Internet

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

Ejemplares similares