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

Table 18.

Results obtained by using the LL real and imaginary sub-bands obtained by applying DT-CWT to the chest X-ray images (first training-test data set)

CNN Type Method TP FN TN FP SEN SPE ACC F-1 AUC CPU Time
First CNN Architecture Without LBP 145,8 4,2 77,6 2,4 0,9720 0,9700 0,9713 0,9779 0,9970 0,8271
With LBP 145,8 4,2 68,8 11,2 0,9720 0,8600 0,9330 0,9500 0,9883 0,8273
Pipeline-1 148,2 1,8 77,2 2,8 0,9880 0,9650 0,9800 0,9847 0,9982 16,544
Pipeline-2 147,0 3,0 78,0 2,0 0,9800 0,9750 0,9783 0,9833 0,9983 16,544
Pipeline-3 148,4 1,6 76,4 3,6 0,9893 0,9550 0,9774 0,9828 0,9986 16,544
Pipeline-4 145,6 4,4 78,4 1,6 0,9707 0,9800 0,9739 0,9798 0,9970 16,544
Second CNN Architecture Without LBP 143,0 7,0 76,4 3,6 0,9533 0,9550 0,9539 0,9643 0,9902 14,416
With LBP 142,6 7,4 67,2 12,8 0,9507 0,8400 0,9122 0,9340 0,9738 14,399
Pipeline-1 148,0 2,0 77,4 2,6 0,9867 0,9675 0,9800 0,9847 0,9969 28,815
Pipeline-2 144,2 5,8 77,4 2,6 0,9613 0,9675 0,9635 0,9717 0,9957 28,815
Pipeline-3 148,0 2,0 75,6 4,4 0,9867 0,9450 0,9722 0,9789 0,9957 28,815
Pipeline-4 143,0 7,0 78,2 1,8 0,9533 0,9775 0,9617 0,9701 0,9922 28,815