Magnetic resonance imaging reconstruction algorithm under complex convolutional neural network in diagnosis and prognosis of cerebral infarction

This study was to explore the application value of magnetic resonance imaging (MRI) image reconstruction model based on complex convolutional neural network (CCNN) in the diagnosis and prognosis of cerebral infarction. Two image reconstruction methods, frequency domain reconstruction network (FDRN)...

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Detalles Bibliográficos
Autores principales: Dong, Jie, Zhao, Shujun, Meng, Yun, Zhang, Yong, Li, Suxiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8128241/
https://www.ncbi.nlm.nih.gov/pubmed/33999951
http://dx.doi.org/10.1371/journal.pone.0251529

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8128241/
https://www.ncbi.nlm.nih.gov/pubmed/33999951
http://dx.doi.org/10.1371/journal.pone.0251529

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