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. 2023 Mar 2;10(3):318. doi: 10.3390/bioengineering10030318

Figure 9.

Figure 9

Development and performance of the radiomics signature. (A) Selecting the optimal number of features based on minimum criteria in the training set. (B) Based on the optimal λ value, 10 radiomics features were selected. (C) The performance of the radiomics signature in training and validation sets. (D) The ROC curves of the radiomics signature in training and validation sets. (E) Violin plot of the radiomics signature in the training set. (F) Violin plot of the radiomics signature in the validation set. NPV, negative predictive value; PPV, positive predict value; ROC, receiver operating curve; AUC, area under the ROC curve.