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

<div>Pooled estimation of sensitivity and specificity for the diagnostic accuracy of radiomics using machine learning in differentiating HGG from LGG. Circles and horizontal lines represent the point estimate and 95% confidence intervals.</div>

Contrast Media & Molecular Imaging

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Figure 2

Figure 2: Diagnostic Accuracy of Machine Learning-Based Radiomics in Grading Gliomas: Systematic Review and Meta-Analysis 