Risk Factors of Restroke in Patients with Lacunar Cerebral Infarction Using Magnetic Resonance Imaging Image Features under Deep Learning Algorithm

This study was aimed to explore the magnetic resonance imaging (MRI) image features based on the fuzzy local information C-means clustering (FLICM) image segmentation method to analyze the risk factors of restroke in patients with lacunar infarction. In this study, based on the FLICM algorithm, the...

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Detalles Bibliográficos
Autores principales: Ma, Chunli, Li, Hong, Zhang, Kui, Gao, Yuzhu, Yang, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8616697/
https://www.ncbi.nlm.nih.gov/pubmed/34887708
http://dx.doi.org/10.1155/2021/2527595

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8616697/
https://www.ncbi.nlm.nih.gov/pubmed/34887708
http://dx.doi.org/10.1155/2021/2527595

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