Ability of Radiomics in Differentiation of Anaplastic Oligodendroglioma From Atypical Low-Grade Oligodendroglioma Using Machine-Learning Approach

Ability of Radiomics in Differentiation of Anaplastic Oligodendroglioma From Atypical Low-Grade Oligodendroglioma Using Machine-Learning Approach

Objectives: To investigate the ability of radiomics features from MRI in differentiating anaplastic oligodendroglioma (AO) from atypical low-grade oligodendroglioma using machine-learning algorithms.Methods: A total number of 101 qualified patients (50 participants with AO and 51 with atypical low-g...

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Bibliographic Details
Main Authors: Yang Zhang, Chaoyue Chen, Yangfan Cheng, Yuen Teng, Wen Guo, Hui Xu, Xuejin Ou, Jian Wang, Hui Li, Xuelei Ma, Jianguo Xu
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-12-01
Series:Frontiers in Oncology
Subjects:
radiomics
machine learning
oligodendroglioma
anaplastic oligodendroglioma
magnetic resonance imaging
grading
Online Access:https://www.frontiersin.org/article/10.3389/fonc.2019.01371/full

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https://www.frontiersin.org/article/10.3389/fonc.2019.01371/full

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