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. 2022 Jan 29:1–19. Online ahead of print. doi: 10.1007/s00530-022-00892-z

Table 13.

Results obtained using 24-layer 3-D CNN for COVID-19 Pneumonia/Viral Pneumonia classification

Method TP FN TN FP SEN SPE ACC F-1 AUC CPU time
(Original) × 24 3386 19 1478 15 0.99442 0.98995 0.99306 0.99500 0.99922 4.06504
(LBP) × 24 3388 17 1466 27 0.99501 0.98192 0.99102 0.99355 0.99956 3.97470
(LE) × 24 3387 18 1472 21 0.99471 0.98593 0.99204 0.99428 0.99940 3.98068
(Original + LBP) × 12 3390 15 1473 20 0.99559 0.98660 0.99285 0.99486 0.99960 4.04915
(Original + LE) × 12 3387 18 1477 16 0.99471 0.98928 0.99306 0.99501 0.99962 4.08911
(Original + LBP + LE) × 8 3390 15 1476 17 0.99559 0.98861 0.99347 0.99530 0.99963 4.09530

The highest results obtained are marked in bold