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. 2021 Jan 21;11:2047. doi: 10.1038/s41598-021-81506-y

Figure 3.

Figure 3

Performance of the tumor tile classification model on the external test set. The AUROC for tumor tile classification was 0.956 (95% CI 0.955, 0.958) on the external test set (a). Model outputs differed significantly between tiles with a ground truth of tumor versus non-tumor (p value < 0.0001) (b). *95% CI for AUC is shown in parentheses in the ROC plot. **Error bars represent 95% CI in the bar chart. The p value was computed using the Wilcoxon rank sum test. AUC, area under the ROC curve; CI, confidence interval; ROC, receiver operating characteristic.