Figure 3.
Prognostic performance on an extramural data set. The extramural data set provided by Stanford only includes CT images and not PET images. Additionally, the disease-specific survival information is not provided. Therefore, in this experiment, two survival categories are being tested: 2-year overall survival (2-yr. OS) and 5-year overall survival (5-yr. OS). The U-Net features are compared against the 6 CT-based radiomics features (Radiomic) defined in Oikonomou et al.34 and the benchmark CNN prediction model (Benchmark) in Hosny et al.27. The box plots represent the average performance scores as indicted by the central mark and 25th and 75th percentiles across experiments tested on extramural Stanford data set. (a) Overall prediction accuracy (proportion of the correct prediction over the entire data set). (b) Sensitivity (correct prediction of death over all death cases). (c) Specificity (correct prediction of survival over all survival cases). (d) AUC of the receiver operating characteristics (ROC) curve.