Machine learning survival prediction in esophageal cancer using radiomics and body composition from pretreatment and follow-up T12-level computed tomography

Figure 5 Results of the Kaplan-Meier survival analyses of 2-year survival rates according to the risk in feature subset 1 (upper left), feature subset 2 (lower left), feature subset 3 (upper right) and feature subset 4 (lower right) as input data. The blue and orange lines represent patients classified as high-risk and low-risk for 2-year survival, respectively, based on the total points from the nomogram.