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

Table 21.

Results obtained by using the LL, LH, HL 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 144,8 5,2 323,0 3,0 0,9653 0,9908 0,9828 0,9724 0,9982 23,185
With LBP 129,2 20,8 308,6 17,4 0,8613 0,9466 0,9197 0,8710 0,9786 23,401
Pipeline-1 147,0 3,0 321,6 4,4 0,9800 0,9865 0,9845 0,9755 0,9974 46,586
Pipeline-2 145,2 4,8 322,8 3,2 0,9680 0,9902 0,9832 0,9732 0,9978 46,586
Pipeline-3 147,6 2,4 321,4 4,6 0,9840 0,9859 0,9853 0,9768 0,9984 46,586
Pipeline-4 144,2 5,8 323,2 2,8 0,9613 0,9914 0,9819 0,9710 0,9975 46,586
Second CNN Architecture Without LBP 144,6 5,4 323,4 2,6 0,9640 0,9920 0,9832 0,9731 0,9984 31,573
With LBP 131,4 18,6 304,8 21,2 0,8760 0,9350 0,9164 0,8686 0,9806 31,369
Pipeline-1 147,4 2,6 322,4 3,6 0,9827 0,9890 0,9870 0,9794 0,9982 62,942
Pipeline-2 145,0 5,0 322,6 3,4 0,9667 0,9896 0,9824 0,9719 0,9986 62,942
Pipeline-3 148,2 1,8 321,8 4,2 0,9880 0,9871 0,9874 0,9802 0,9986 62,942
Pipeline-4 143,8 6,2 324,0 2,0 0,9587 0,9939 0,9828 0,9723 0,9983 62,942