Omics-imaging signature-based nomogram to predict the progression-free survival of patients with hepatocellular carcinoma after transcatheter arterial chemoembolization

Figure 4 Performance of the models constructed with different radiomic features from various phases. A1: Receiver operating characteristic (ROC) of traditional radiomics; B: ROC of deep transfer learning (DTL); C: ROC of deep learning radiomics (DLR; traditional radiomics +DTL); D: Delong test of traditional radiomics; E: Delong test of deep DTL; F: Delong test of DLR (traditional radiomics +DTL). DTL: Deep transfer learning; AP: Arterial phase; DP: Delayed phase; PVP: Portal venous phase; DLR: Deep learning radiomics; AUC: Area under the curve.