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Fig. 3 | BMC Medical Imaging

Fig. 3

From: Preoperative clinical-radiomics nomogram for microvascular invasion prediction in hepatocellular carcinoma using \(^{18}\)F-FDG PET/CT

Fig. 3

Features selection used the LASSO regression model in the features group. A LASSO coefficients produced by the regression analysis. As shown in B, \(\uplambda\) = 0.0240 with log (\(\uplambda\)) = − 3.728 was chosen according to 10-fold cross-validation, where optimal \(\uplambda\) resulted in 45 non-zero coefficients in the features group

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BMC Medical Imaging

ISSN: 1471-2342

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