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

Table 12.

Results obtained by using the LL imaginary sub-band 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 146,4 3,6 77,4 2,6 0,9760 0,9675 0,9730 0,9792 0,9972 0,6033
With LBP 145,6 4,4 73,6 6,4 0,9707 0,9200 0,9530 0,9643 0,9889 0,5979
Pipeline-1 147,8 2,2 77,0 3,0 0,9853 0,9625 0,9774 0,9827 0,9980 12,012
Pipeline-2 146,6 3,4 77,4 2,6 0,9773 0,9675 0,9739 0,9799 0,9981 12,012
Pipeline-3 148,2 1,8 76,4 3,6 0,9880 0,9550 0,9765 0,9821 0,9985 12,012
Pipeline-4 146,0 4,0 78,0 2,0 0,9733 0,9750 0,9739 0,9799 0,9977 12,012
Second CNN Architecture Without LBP 141,0 9,0 77,2 2,8 0,9400 0,9650 0,9487 0,9599 0,9803 12,156
With LBP 143,6 6,4 60,2 19,8 0,9573 0,7525 0,8861 0,9167 0,9645 12,086
Pipeline-1 146,8 3,2 75,8 4,2 0,9787 0,9475 0,9678 0,9754 0,9923 24,243
Pipeline-2 143,0 7,0 77,4 2,6 0,9533 0,9675 0,9583 0,9675 0,9909 24,243
Pipeline-3 146,8 3,2 74,8 5,2 0,9787 0,9350 0,9635 0,9722 0,9898 24,243
Pipeline-4 141,0 9,0 78,2 1,8 0,9400 0,9775 0,9530 0,9631 0,9849 24,243