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. 2020 May 30;10(6):358. doi: 10.3390/diagnostics10060358

Table 8.

Performance metrics achieved with the different combinations of augmented training data toward classifying the pediatric CXR (baseline) test data into bacterial and viral pneumonia categories.

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.