Automatic differentiation of Grade I and II meningiomas on magnetic resonance image using an asymmetric convolutional neural network

The Grade of meningioma has significant implications for selecting treatment regimens ranging from observation to surgical resection with adjuvant radiation. For most patients, meningiomas are diagnosed radiologically, and Grade is not determined unless a surgical procedure is performed. The goal of...

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Detalles Bibliográficos
Autores principales: Vassantachart, April, Cao, Yufeng, Gribble, Michael, Guzman, Samuel, Ye, Jason C., Hurth, Kyle, Mathew, Anna, Zada, Gabriel, Fan, Zhaoyang, Chang, Eric L., Yang, Wensha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8907289/
https://www.ncbi.nlm.nih.gov/pubmed/35264655
http://dx.doi.org/10.1038/s41598-022-07859-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8907289/
https://www.ncbi.nlm.nih.gov/pubmed/35264655
http://dx.doi.org/10.1038/s41598-022-07859-0

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