Skip to main content
. 2021 Jan 1;11(5):2098–2107. doi: 10.7150/thno.48027

Figure 2.

Figure 2

PD-L1 expression signature assessment results for high and low expression classification. (A, B and C) were the ROC curves of the training, validation, and test cohorts, respectively. (D, E and F) were the decision curves of the training, validation, and test cohorts, respectively. Among them, each figure contained the results of PD-L1 expression signature (PD-L1ES), deep learning model (DLM), radiomic model (RM) and clinical model (CM). They all showed that PD-L1 expression signature was superior to other models.