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Fig. 4 | BMC Cancer

Fig. 4

From: Spectral CT-based radiomics signature for distinguishing malignant pulmonary nodules from benign

Fig. 4

The performance of three models in distinguishing benign from malignant SPSNs. ROC curves for radiomics model, conventional model, and integrated model in training (a) and testing datasets (b). Calibration curves for radiomics model, conventional model, and integrated model in training (c) and testing datasets (d). The calibration curves described a good fitness of three models between prediction and observation of the benign and malignant SPSNs. The gray line represented the perfect prediction. A closer fitness to the gray line represented a well-calibrated model. Decision curves for radiomics model, conventional model, and integrated model in training (e) and testing datasets (f). Integrated model and radiomics model had higher net benefit than conventional model. SPSN, solitary pulmonary solid nodule

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