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. 2020 Aug 20;24(10):2787–2797. doi: 10.1109/JBHI.2020.3018181

TABLE IV. COVID-19 Classification Accuracy of 3D ResNet-50 Trained With Different Quantities of Training Samples Selected by 3D ResNet-18. (PRE.–Precision, REC.–Recall (%); T. P.: Training Period).

Number of Negative Samples
14% (246) 28% (500) 56% (1,000) ALL
PRE. 80.9 90.2 83.0 84.0
REC. 76.0 74.0 88.0 84.8
F1 78.4 81.3 85.4 84.8
T. P. 2.9 hours 5.4 hours 11.3 hours 23.5 hours