Research Article
Deep Learning-Aided Automated Pneumonia Detection and Classification Using CXR Scans
Table 6
Total number of FN, FP, TN, and TP for each of the three classes.
| Model name | Training and test ratio | COVID-19 | Normal | Pneumonia | FN | FP | TN | TP | FN | FP | TN | TP | FN | FP | TN | TP |
| CNN | 80–20% | 13 | 2 | 554 | 243 | 1 | 30 | 486 | 295 | 22 | 4 | 548 | 238 | 70–30% | 29 | 2 | 832 | 355 | 37 | 14 | 760 | 407 | 8 | 58 | 770 | 382 | 60–40% | 30 | 13 | 1099 | 482 | 15 | 58 | 974 | 577 | 45 | 19 | 1085 | 475 |
| VGG16 | 80–20% | 13 | 1 | 555 | 243 | 0 | 47 | 469 | 296 | 40 | 5 | 547 | 220 | 70–30% | 23 | 6 | 828 | 361 | 4 | 60 | 714 | 440 | 49 | 10 | 818 | 341 | 60–40% | 46 | 10 | 1102 | 466 | 0 | 145 | 887 | 592 | 113 | 4 | 1100 | 407 |
| VGG19 | 80-20% | 12 | 1 | 555 | 244 | 0 | 49 | 467 | 296 | 40 | 2 | 550 | 220 | 70–30% | 24 | 5 | 829 | 360 | 9 | 70 | 704 | 435 | 62 | 20 | 808 | 328 | 60–40% | 38 | 5 | 1107 | 474 | 9 | 86 | 946 | 583 | 74 | 30 | 1074 | 446 |
| Xception | 80-20% | 12 | 2 | 554 | 244 | 1 | 25 | 491 | 295 | 23 | 9 | 543 | 237 | 70–30% | 27 | 3 | 831 | 357 | 7 | 51 | 723 | 437 | 49 | 29 | 799 | 341 | 60–40% | 26 | 8 | 1104 | 486 | 0 | 89 | 943 | 592 | 83 | 12 | 1092 | 437 |
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