Magnetic Resonance Imaging Features under Deep Learning Algorithms in Evaluated Cerebral Protection of Craniotomy Evacuation of Hematoma under Propofol Anesthesia

This study aimed to explore the value of magnetic resonance imaging (MRI) features based on deep learning super-resolution algorithms in evaluating the value of propofol anesthesia for brain protection of patients undergoing craniotomy evacuation of the hematoma. An optimized super-resolution algori...

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Detalles Bibliográficos
Autores principales: Xin, Deqian, An, Zhongzhe, Ding, Juan, Li, Zhi, Qiao, Leyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8500760/
https://www.ncbi.nlm.nih.gov/pubmed/34671228
http://dx.doi.org/10.1155/2021/2209527

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8500760/
https://www.ncbi.nlm.nih.gov/pubmed/34671228
http://dx.doi.org/10.1155/2021/2209527

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