Table 8.
Dataset | Acc. | AUC | Sens. | Spec. | Prec. | F | MCC |
---|---|---|---|---|---|---|---|
Baseline | 0.9308 | 0.9565 | 0.9711 | 0.8649 | 0.9216 | 0.9457 | 0.8527 |
Data augmentation with weakly labeled images | |||||||
Baseline + NIH | 0.9179 | 0.9600 | 0.9587 | 0.8514 | 0.9134 | 0.9355 | 0.8249 |
Baseline + CheXpert | 0.9405 | 0.9689 | 0.9877 | 0.8624 | 0.9201 | 0.9542 | 0.8716 |
Baseline + RSNA | 0.9359 | 0.9592 | 0.9877 | 0.8514 | 0.9158 | 0.9503 | 0.8653 |
Baseline + NIH + CheXpert | 0.9333 | 0.9606 | 0.9835 | 0.8514 | 0.9154 | 0.9483 | 0.8594 |
Baseline + NIH + RSNA | 0.9231 | 0.9642 | 0.9959 | 0.8041 | 0.8926 | 0.9415 | 0.8411 |
Baseline + CheXpert + RSNA | 0.9359 | 0.9628 | 0.9835 | 0.8582 | 0.919 | 0.9501 | 0.8647 |
Baseline + NIH + CheXpert + RSNA | 0.9154 | 0.9542 | 0.9794 | 0.8109 | 0.8944 | 0.935 | 0.8217 |
Bold numerical values denote superior performance.