DGA3-Net: A parameter-efficient deep learning model for ASPECTS assessment for acute ischemic stroke using non-contrast computed tomography

Detecting the early signs of stroke using non-contrast computerized tomography (NCCT) is essential for the diagnosis of acute ischemic stroke (AIS). However, the hypoattenuation in NCCT is difficult to precisely identify, and accurate assessments of the Alberta Stroke Program Early CT Score (ASPECTS...

Descripción completa

Detalles Bibliográficos
Autores principales: Lin, Shih-Yen, Chiang, Pi-Ling, Chen, Meng-Hsiang, Lee, Meng-Yang, Lin, Wei-Che, Chen, Yong-Sheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10225927/
https://www.ncbi.nlm.nih.gov/pubmed/37224605
http://dx.doi.org/10.1016/j.nicl.2023.103441

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10225927/
https://www.ncbi.nlm.nih.gov/pubmed/37224605
http://dx.doi.org/10.1016/j.nicl.2023.103441

Ejemplares similares