Diagnostic Accuracy of Machine Learning-Based Radiomics in Grading Gliomas: Systematic Review and Meta-Analysis

Purpose. This study aimed to estimate the diagnostic accuracy of machine learning- (ML-) based radiomics in differentiating high-grade gliomas (HGG) from low-grade gliomas (LGG) and to identify potential covariates that could affect the diagnostic accuracy of ML-based radiomic analysis in classifyin...

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Veröffentlicht in:	Contrast media and molecular imaging 2020, Vol.2020 (2020), p.1-12
Hauptverfasser:	Sohn, Curtis K., Bisdas, Sotirios
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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