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

Table 10.

Results obtained by using the LL real 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 146,6 3,4 77,4 2,6 0,9773 0,9675 0,9739 0,9800 0,9983 0,6090
With LBP 146,0 4,0 72,6 7,4 0,9733 0,9075 0,9504 0,9624 0,9890 0,6252
Pipeline-1 149,0 1,0 77,4 2,6 0,9933 0,9675 0,9843 0,9881 0,9988 12,342
Pipeline-2 147,0 3,0 77,4 2,6 0,9800 0,9675 0,9757 0,9813 0,9989 12,342
Pipeline-3 149,2 0,8 76,6 3,4 0,9947 0,9575 0,9817 0,9862 0,9990 12,342
Pipeline-4 146,4 3,6 78,2 1,8 0,9760 0,9775 0,9765 0,9819 0,9986 12,342
Second CNN Architecture Without LBP 141,8 8,2 77,8 2,2 0,9453 0,9725 0,9548 0,9646 0,9934 12,146
With LBP 141,2 8,8 63,6 16,4 0,9413 0,7950 0,8904 0,9183 0,9580 12,339
Pipeline-1 146,6 3,4 77,6 2,4 0,9773 0,9700 0,9748 0,9806 0,9963 24,485
Pipeline-2 144,0 6,0 78,0 2,0 0,9600 0,9750 0,9652 0,9729 0,9962 24,485
Pipeline-3 147,4 2,6 77,2 2,8 0,9827 0,9650 0,9765 0,9820 0,9961 24,485
Pipeline-4 141,0 9,0 78,2 1,8 0,9400 0,9775 0,9530 0,9631 0,9944 24,485