Optimized Deconvolutional Algorithm-based CT Perfusion Imaging in Diagnosis of Acute Cerebral Infarction

To apply deconvolution algorithm in computer tomography (CT) perfusion imaging of acute cerebral infarction (ACI), a convolutional neural network (CNN) algorithm was optimized first. RIU-Net was applied to segment CT image, and then equipped with SE module to enhance the feature extraction ability....

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Detalles Bibliográficos
Autores principales: Chen, Xiaoxia, Bai, Xiao, Shu, Xin, He, Xucheng, Zhao, Jinjing, Guo, Xiaodong, Wang, Guisheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9192278/
https://www.ncbi.nlm.nih.gov/pubmed/35800236
http://dx.doi.org/10.1155/2022/8728468

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9192278/
https://www.ncbi.nlm.nih.gov/pubmed/35800236
http://dx.doi.org/10.1155/2022/8728468

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