Predicting the Severity of Neurological Impairment Caused by Ischemic Stroke Using Deep Learning Based on Diffusion-Weighted Images

Purpose: To develop a preliminary deep learning model that uses diffusion-weighted imaging (DWI) images to classify the severity of neurological impairment caused by ischemic stroke. Materials and Methods: This retrospective study included 851 ischemic stroke patients (711 patients in the training s...

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Detalles Bibliográficos
Autores principales: Zeng, Ying, Long, Chen, Zhao, Wei, Liu, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9325315/
https://www.ncbi.nlm.nih.gov/pubmed/35887776
http://dx.doi.org/10.3390/jcm11144008

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9325315/
https://www.ncbi.nlm.nih.gov/pubmed/35887776
http://dx.doi.org/10.3390/jcm11144008

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