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Fig. 6 | World Journal of Surgical Oncology

Fig. 6

From: An MRI-based fusion model for preoperative prediction of perineural invasion status in patients with intrahepatic cholangiocarcinoma

Fig. 6

Nomogram of the fusion model (A). Comparison of receiver operating characteristic curves for the clinical, radiomics, deep learning, and fusion models (B). Performance metrics for each model on the training (C) and test sets (D), respectively. Calibration curves for the fusion model (E). Decision curves for the training (F) and test sets (G), respectively. DL_Sig, deep learning signature; Rad_Sig, radiomics signature; ALB, albumin; DL, deep learning; Rad, radiomics; AUC, area under the curve; PPV, positive predictive value; NPV, negative predictive value

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