Deep Learning Approach Using Diffusion-Weighted Imaging to Estimate the Severity of Aphasia in Stroke Patients

BACKGROUND AND PURPOSE: This study aimed to investigate the applicability of deep learning (DL) model using diffusion-weighted imaging (DWI) data to predict the severity of aphasia at an early stage in acute stroke patients. METHODS: We retrospectively analyzed consecutive patients with aphasia caus...

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Detalles Bibliográficos
Autores principales: Jeong, Soo, Lee, Eun-Jae, Kim, Yong-Hwan, Woo, Jin Cheol, Ryu, On-Wha, Kwon, Miseon, Kwon, Sun U, Kim, Jong S., Kang, Dong-Wha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Stroke Society 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8829479/
https://www.ncbi.nlm.nih.gov/pubmed/35135064
http://dx.doi.org/10.5853/jos.2021.02061

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8829479/
https://www.ncbi.nlm.nih.gov/pubmed/35135064
http://dx.doi.org/10.5853/jos.2021.02061

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