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Fig. 5 | Cancer Imaging

Fig. 5

From: Comparison of machine learning models and CEUS LI-RADS in differentiation of hepatic carcinoma and liver metastases in patients at risk of both hepatitis and extrahepatic malignancy

Fig. 5

Importance of the predictor variables and the diagnostic performance of LI-RADS and machine learning models

(A). Schematic representation in the CEUS LI-RADS; (B) The diagnostic performance of LI-RADS; (C). Variables show in the Gradient Boosting Model; (D). The diagnostic performance in the Gradient Boosting Model; (E). Variables show in the Random Forest; (F). The diagnostic performance in the Random Forest; (G). Variables show in the General Linear Model; (H). The diagnostic performance in the General Linear Model

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