Image-Based Differentiation of Intracranial Metastasis From Glioblastoma Using Automated Machine Learning

PURPOSE: The majority of solitary brain metastases appear similar to glioblastomas (GBMs) on magnetic resonance imaging (MRI). This study aimed to develop and validate an MRI-based model to differentiate intracranial metastases from GBMs using automated machine learning. MATERIALS AND METHODS: Radio...

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Detalles Bibliográficos
Autores principales: Liu, Yukun, Li, Tianshi, Fan, Ziwen, Li, Yiming, Sun, Zhiyan, Li, Shaowu, Liang, Yuchao, Zhou, Chunyao, Zhu, Qiang, Zhang, Hong, Liu, Xing, Wang, Lei, Wang, Yinyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9133479/
https://www.ncbi.nlm.nih.gov/pubmed/35645718
http://dx.doi.org/10.3389/fnins.2022.855990

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9133479/
https://www.ncbi.nlm.nih.gov/pubmed/35645718
http://dx.doi.org/10.3389/fnins.2022.855990

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