Radiomics-Based Machine Learning in Differentiation Between Glioblastoma and Metastatic Brain Tumors

Radiomics-Based Machine Learning in Differentiation Between Glioblastoma and Metastatic Brain Tumors

Purpose: To investigative the diagnostic performance of radiomics-based machine learning in differentiating glioblastomas (GBM) from metastatic brain tumors (MBTs).Method: The current study involved 134 patients diagnosed and treated in our institution between April 2014 and December 2018. Radiomics...

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Bibliographic Details
Main Authors: Chaoyue Chen, Xuejin Ou, Jian Wang, Wen Guo, Xuelei Ma
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-08-01
Series:Frontiers in Oncology
Subjects:
radiomics
machine learning
glioblastomas
metastatic brain tumors
texture analysis
Online Access:https://www.frontiersin.org/article/10.3389/fonc.2019.00806/full

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https://www.frontiersin.org/article/10.3389/fonc.2019.00806/full

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