Supplementary Tables 1 and 2 from Semi-Supervised, Attention-Based Deep Learning for Predicting TMPRSS2:ERG Fusion Status in Prostate Cancer Using Whole Slide Images

Supplementary Table 1. Performance metrics for the ERG prediction model in the TCGA testing cohort. The table shows the model’s performance in the TCGA testing cohort consisting of 59 whole slide images using different thresholds derived from the training data. PPV: positive predictive value; NPV: negative predictive value; MCC: Matthews Correlation Coefficient. Supplementary Table 2. Performance metrics for the ERG prediction model in the natural history cohort. The table shows the model’s performance in the natural history cohort consisting of 314 whole slide images using different thresholds derived from the training data. PPV: positive predictive value; NPV: negative predictive value; MCC: Matthews Correlation Coefficient.