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Fig. 2 | BMC Medical Imaging

Fig. 2

From: Added value of CE-CT radiomics to predict high Ki-67 expression in hepatocellular carcinoma

Fig. 2

Flowchart of tumor segmentation, feature extraction, and model building. Manual segmentation was performed in the multi-phase images, and radiomics features were extracted. Then, LASSO was used for radiomics feature selection and finally, a model was establishment. Receiver operating characteristic (ROC) curve and the DCA curve for predicting Ki-67 status were then developed. LASSO, least absolute shrinkage and selection operator; DCA, Decision curve analysis

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