Accuracy of Machine Learning Algorithms for the Classification of Molecular Features of Gliomas on MRI: A Systematic Literature Review and Meta-Analysis

Accuracy of Machine Learning Algorithms for the Classification of Molecular Features of Gliomas on MRI: A Systematic Literature Review and Meta-Analysis

Treatment planning and prognosis in glioma treatment are based on the classification into low- and high-grade oligodendroglioma or astrocytoma, which is mainly based on molecular characteristics (IDH1/2- and 1p/19q codeletion status). It would be of great value if this classification could be made r...

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Bibliographic Details
Main Authors: Evi J. van Kempen, Max Post, Manoj Mannil, Benno Kusters, Mark ter Laan, Frederick J. A. Meijer, Dylan J. H. A. Henssen
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Cancers
Subjects:
glioma
non-invasive molecular classification
machine learning algorithms
meta-analysis
Online Access:https://www.mdpi.com/2072-6694/13/11/2606

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https://www.mdpi.com/2072-6694/13/11/2606

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