Comparison of Radiomics-Based Machine-Learning Classifiers in Diagnosis of Glioblastoma From Primary Central Nervous System Lymphoma

Comparison of Radiomics-Based Machine-Learning Classifiers in Diagnosis of Glioblastoma From Primary Central Nervous System Lymphoma

Purpose: The purpose of the current study was to evaluate the ability of magnetic resonance (MR) radiomics-based machine-learning algorithms in differentiating glioblastoma (GBM) from primary central nervous system lymphoma (PCNSL).Method: One-hundred and thirty-eight patients were enrolled in this...

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Bibliographic Details
Main Authors: Chaoyue Chen, Aiping Zheng, Xuejin Ou, Jian Wang, Xuelei Ma
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-09-01
Series:Frontiers in Oncology
Subjects:
glioblastoma
primary central nervous system lymphoma
magnetic resonance imaging
radiomics
machine learning
Online Access:https://www.frontiersin.org/article/10.3389/fonc.2020.01151/full

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https://www.frontiersin.org/article/10.3389/fonc.2020.01151/full

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