Table 4 Cancer detection results, obtained from ROC curves using all histological images’ patch-level statistics. Reported are the AUC for the validation group and the AUC, F1 score, accuracy, sensitivity, and specificity of the testing group with 95% confidence intervals for all values. Also shown in the right-most column is the ability of the proposed method to distinguish slides that contain cancer from slides that are all normal.
Group | Validation AUC | Test AUC | F1 Score | Accuracy | Sensitivity | Specificity | Slide Level AUC |
|---|---|---|---|---|---|---|---|
SCC | 0.913 (0.90,0.93) | 0.916 (0.90, 0.93) | 84.8 ± 1.5% | 84.8 ± 1.6% | 84.7 ± 2.2% | 85.0 ± 2.2% | 0.944 (0.91, 0.97) |
Thyroid | 0.927 (0.92, 0.94) | 0.954 (0.94, 0.97) | 89.4 ± 1.3% | 89.4 ± 1.3% | 89.6 ± 1.8% | 89.1 ± 1.9% | 0.995 (0.99, 1.00) |
Lymph Node | 0.986 (0.96, 0.99) | 0.967 (0.96, 0.98) | 91.8 ± 1.3% | 93.4 ± 1.2% | 90.1 ± 1.8% | 93.6 ± 1.6% | 0.901 (0.86, 0.94) |
