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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Stroke Society
2022
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Materias: | |
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 |
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