Differentiation of Low-Grade Astrocytoma From Anaplastic Astrocytoma Using Radiomics-Based Machine Learning Techniques

Differentiation of Low-Grade Astrocytoma From Anaplastic Astrocytoma Using Radiomics-Based Machine Learning Techniques

PurposeTo investigate the diagnostic ability of radiomics-based machine learning in differentiating atypical low-grade astrocytoma (LGA) from anaplastic astrocytoma (AA).MethodsThe current study involved 175 patients diagnosed with LGA (n = 95) or AA (n = 80) and treated in the Neurosurgery Departme...

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Bibliographic Details
Main Authors: Boran Chen, Chaoyue Chen, Jian Wang, Yuen Teng, Xuelei Ma, Jianguo Xu
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Oncology
Subjects:
machine learning
glioma
astrocytoma
texture analysis
radiomics
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.521313/full

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https://www.frontiersin.org/articles/10.3389/fonc.2021.521313/full

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