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

Table 19.

Results obtained by using the LL real and imaginary sub-bands 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 143,0 7,0 323,0 3,0 0,9533 0,9908 0,9790 0,9662 0,9980 10,808
With LBP 135,2 14,8 313,6 12,4 0,9013 0,9620 0,9429 0,9086 0,9863 10,820
Pipeline-1 146,8 3,2 321,8 4,2 0,9787 0,9871 0,9845 0,9754 0,9983 21,627
Pipeline-2 145,4 4,6 323,0 3,0 0,9693 0,9908 0,9840 0,9745 0,9983 21,627
Pipeline-3 147,2 2,8 321,4 4,6 0,9813 0,9859 0,9845 0,9755 0,9987 21,627
Pipeline-4 142,6 7,4 323,4 2,6 0,9507 0,9920 0,9790 0,9661 0,9977 21,627
Second CNN Architecture Without LBP 145,2 4,8 322,8 3,2 0,9680 0,9902 0,9832 0,9732 0,9982 18,172
With LBP 131,2 18,8 306,0 20,0 0,8747 0,9387 0,9185 0,8711 0,9797 18,135
Pipeline-1 147,4 2,6 323,0 3,0 0,9827 0,9908 0,9882 0,9813 0,9985 36,307
Pipeline-2 145,6 4,4 323,2 2,8 0,9707 0,9914 0,9849 0,9758 0,9986 36,307
Pipeline-3 148,0 2,0 321,8 4,2 0,9867 0,9871 0,9870 0,9795 0,9990 36,307
Pipeline-4 144,6 5,4 324,0 2,0 0,9640 0,9939 0,9845 0,9750 0,9980 36,307