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. 2020 Nov 4;51(5):2740–2763. doi: 10.1007/s10489-020-02019-1

Table 13.

Results obtained by using the LL imaginary sub-band obtained by applying DT-CWT to the chest X-ray images (second training-test data set)

CNN Type Method TP FN TN FP SEN SPE ACC F-1 AUC CPU Time
First CNN Architecture Without LBP 145,0 5,0 322,0 4,0 0,9667 0,9877 0,9811 0,9699 0,9970 0,7587
With LBP 134,8 15,2 312,0 14,0 0,8987 0,9571 0,9387 0,9022 0,9861 0,7578
Pipeline-1 147,2 2,8 322,0 4,0 0,9813 0,9877 0,9857 0,9774 0,9981 15,164
Pipeline-2 146,0 4,0 322,2 3,8 0,9733 0,9883 0,9836 0,9740 0,9982 15,164
Pipeline-3 147,6 2,4 321,0 5,0 0,9840 0,9847 0,9845 0,9755 0,9985 15,164
Pipeline-4 144,6 5,4 323,0 3,0 0,9640 0,9908 0,9824 0,9718 0,9969 15,164
Second CNN Architecture Without LBP 146,0 4,0 323,2 2,8 0,9733 0,9914 0,9857 0,9772 0,9981 15,022
With LBP 128,8 21,2 306,0 20,0 0,8587 0,9387 0,9134 0,8615 0,9773 16,851
Pipeline-1 147,4 2,6 322,6 3,4 0,9827 0,9896 0,9874 0,9800 0,9979 31,874
Pipeline-2 146,2 3,8 323,0 3,0 0,9747 0,9908 0,9857 0,9773 0,9984 31,874
Pipeline-3 147,8 2,2 322,0 4,0 0,9853 0,9877 0,9870 0,9794 0,9983 31,874
Pipeline-4 145,6 4,4 323,8 2,2 0,9707 0,9933 0,9861 0,9778 0,9982 31,874