| model | batch | Epoch | Learning rate | accuracy | precision | recall | specificity | F1-score | Time |
| ALEXNET | 16 | 10 | 0.1 | 93.03% | 89.44% | 90.50% | 94.75% | 89.97% | 303 |
| 32 | 94.61% | 92.42% | 91.96% | 95.85% | 92.19% | 280 | |||
| 64 | 93.89% | 91.32% | 90.11% | 95.16% | 90.71% | 264 | |||
| DENSENET | 16 | 97.50% | 96.09% | 95.94% | 98.12% | 96.01% | 446 | ||
| 32 | 96.82% | 94.93% | 95.42% | 97.70% | 95.17% | 431 | |||
| 64 | 98.01% | 96.73% | 97.17% | 98.55% | 96.95% | 411 | |||
| EFFICEINTNET | 16 | 89.46% | 88.05% | 82.78% | 91.39% | 85.33% | 1561 | ||
| 32 | 93.03% | 89.61% | 90.99% | 94.87% | 90.29% | 1483 | |||
| 64 | 92.31% | 88.94% | 89.49% | 94.21% | 89.21% | 1452 | |||
| GOOGLENET | 16 | 94.59% | 91.88% | 91.60% | 95.87% | 91.74% | 484 | ||
| 32 | 94.95% | 92.02% | 92.25% | 96.30% | 92.13% | 417 | |||
| 64 | 94.77% | 91.82% | 93.01% | 96.36% | 92.41% | 315 | |||
| SQUEEZENET | 16 | 96.49% | 94.28% | 94.86% | 97.45% | 94.57% | 356 | ||
| 32 | 95.30% | 93.35% | 91.73% | 96.24% | 92.53% | 327 | |||
| 64 | 95.29% | 93.28% | 92.30% | 96.27% | 92.79% | 282 | |||
| VGG19 | 16 | 91.25% | 87.42% | 87.60% | 93.49% | 87.51% | 278 | ||
| 32 | 94.24% | 91.10% | 91.79% | 95.71% | 91.44% | 272 | |||
| 64 | 94.39% | 92.45% | 90.47% | 95.73% | 91.45% | 264 | |||
| ALEXNET | 16 | 0.01 | 92.87% | 89.68% | 89.87% | 94.61% | 89.77% | 304 | |
| 32 | 92.52% | 89.69% | 89.61% | 94.40% | 89.65% | 279 | |||
| 64 | 92.66% | 89.02% | 90.30% | 94.72% | 89.66% | 267 | |||
| DENSENET | 16 | 98.17% | 96.98% | 97.37% | 98.67% | 97.17% | 756 | ||
| 32 | 95.46% | 93.64% | 92.87% | 96.41% | 93.25% | 712 | |||
| 64 | 97.33% | 95.74% | 96.22% | 98.05% | 95.98% | 672 | |||
| EFFICEINTNET | 16 | 94.08% | 91.36% | 91.10% | 95.38% | 91.23% | 457 | ||
| 32 | 95.46% | 93.00% | 93.68% | 96.58% | 93.34% | 441 | |||
| 64 | 94.59% | 91.94% | 92.29% | 95.92% | 92.11% | 421 | |||
| GOOGLENET | 16 |
|
| 95.30% | 92.54% | 93.60% | 96.70% | 93.07% | 400 |
| 32 | 94.94% | 91.98% | 92.76% | 96.34% | 92.37% | 349 | |||
| 64 | 94.43% | 91.21% | 91.21% | 95.79% | 91.21% | 316 | |||
| SQUEEZENET | 16 | 97.84% | 96.34% | 96.78% | 98.46% | 96.56% | 354 | ||
| 32 | 97.84% | 96.23% | 96.87% | 98.51% | 96.55% | 332 | |||
| 64 | 98.34% | 97.16% | 97.52% | 98.82% | 97.34% | 282 | |||
| VGG19 | 16 | 93.72% | 91.17% | 90.17% | 95.05% | 90.67% | 280 | ||
| 32 | 93.75% | 90.77% | 89.93% | 95.26% | 90.35% | 266 | |||
| 64 | 94.28% | 91.70% | 90.70% | 95.67% | 91.20% | 260 | |||
| ALEXNET | 16 | 0.001 | 94.94% | 91.99% | 92.88% | 96.34% | 92.43% | 298 | |
| 32 | 94.42% | 91.69% | 92.51% | 95.92% | 92.10% | 265 | |||
| 64 | 95.45% | 93.15% | 93.17% | 96.53% | 93.16% | 249 | |||
| DENSENET | 16 | 98.17% | 96.92% | 97.34% | 98.69% | 97.13% | 540 | ||
| 32 | 98.34% | 97.10% | 97.70% | 98.85% | 97.40% | 488 | |||
| 64 | 98.01% | 96.73% | 97.01% | 98.54% | 96.87% | 457 | |||
| EFFICEINTNET | 16 | 97.00% | 95.64% | 95.69% | 97.66% | 95.66% | 463 | ||
| 32 | 95.80% | 93.57% | 93.88% | 96.81% | 93.72% | 438 | |||
| 64 | 96.65% | 95.05% | 94.85% | 97.41% | 94.95% | 419 | |||
| GOOGLENET | 16 | 95.12% | 92.51% | 92.21% | 96.29% | 92.36% | 404 | ||
| 32 | 95.30% | 92.65% | 92.72% | 96.55% | 92.68% | 345 | |||
| 64 | 95.47% | 92.92% | 92.99% | 96.63% | 92.95% | 314 | |||
| SQUEEZENET | 16 | 97.50% | 96.37% | 96.28% | 98.14% | 96.32% | 355 | ||
| 32 | 96.65% | 94.66% | 95.37% | 97.59% | 95.01% | 315 | |||
| 64 | 96.82% | 94.90% | 95.70% | 97.72% | 95.30% | 282 | |||
| VGG19 | 16 | 95.64% | 93.13% | 93.19% | 96.75% | 93.16% | 276 | ||
| 32 | 95.63% | 93.31% | 93.44% | 96.67% | 93.37% | 273 | |||
| 64 | 95.64% | 93.13% | 93.19% | 96.75% | 93.16% | 251 | |||
| ALEXNET | 16 | 25 | 0.1 | 92.52% | 89.69% | 89.37% | 94.32% | 89.53% | 718 |
| 32 | 94.59% | 91.57% | 92.68% | 96.12% | 92.12% | 671 | |||
| 64 | 94.08% | 90.75% | 91.79% | 95.72% | 91.27% | 653 | |||
| DENSENET | 16 | 96.15% | 93.82% | 94.93% | 97.33% | 94.37% | 3975 | ||
| 32 | 97.50% | 96.05% | 96.46% | 98.16% | 96.25% | 1183 | |||
| 64 | 96.83% | 94.91% | 95.72% | 97.68% | 95.31% | 1097 | |||
| EFFICEINTNET | 16 | 94.25% | 91.46% | 91.28% | 95.54% | 91.37% | 1152 | ||
| 32 | 94.94% | 92.32% | 92.64% | 96.15% | 92.48% | 1457 | |||
| 64 | 95.46% | 93.38% | 93.14% | 96.47% | 93.26% | 1556 | |||
| GOOGLENET | 16 |
|
| 95.11% | 92.59% | 92.55% | 96.26% | 92.57% | 1011 |
| 32 | 94.09% | 90.61% | 90.68% | 95.58% | 90.64% | 870 | |||
| 64 | 93.73% | 90.18% | 90.99% | 95.48% | 90.58% | 785 | |||
| SQUEEZENET | 16 | 96.70% | 93.07% | 95.27% | 97.01% | 94.16% | 6522 | ||
| 32 | 97.67% | 96.28% | 96.39% | 98.26% | 96.33% | 6085 | |||
| 64 | 97.16% | 95.53% | 95.74% | 97.87% | 95.63% | 6344 | |||
| VGG19 | 16 | 94.94% | 92.21% | 92.46% | 96.23% | 92.33% | 694 | ||
| 32 | 93.38% | 90.92% | 88.89% | 94.80% | 89.89% | 662 | |||
| 64 | 95.11% | 92.56% | 92.46% | 96.29% | 92.51% | 651 | |||
| ALEXNET | 16 | 0.01 | 91.96% | 87.95% | 88.60% | 94.02% | 88.27% | 696 | |
| 32 | 94.07% | 92.11% | 90.59% | 95.31% | 91.34% | 639 | |||
| 64 | 92.31% | 89.94% | 87.92% | 93.92% | 88.92% | 600 | |||
| DENSENET | 16 | 98.17% | 96.98% | 97.37% | 98.67% | 97.17% | 3943 | ||
| 32 | 97.33% | 95.76% | 96.34% | 98.05% | 96.05% | 3720 | |||
| 64 | 98.01% | 96.61% | 97.29% | 98.60% | 96.95% | 1107 | |||
| EFFICEINTNET | 16 | 96.82% | 95.28% | 95.30% | 97.54% | 95.29% | 2163 | ||
| 32 | 96.32% | 94.65% | 94.38% | 97.13% | 94.51% | 1179 | |||
| 64 | 95.80% | 93.65% | 94.01% | 96.81% | 93.83% | 1122 | |||
| GOOGLENET | 16 | 96.15% | 93.71% | 94.60% | 97.27% | 94.15% | 984 | ||
| 32 | 94.08% | 90.70% | 91.13% | 95.66% | 90.91% | 844 | |||
| 64 | 95.29% | 92.48% | 93.54% | 96.68% | 93.01% | 759 | |||
| SQUEEZENET | 16 | 98.25% | 97.08% | 97.60% | 98.94% | 97.34% | 935 | ||
| 32 | 97.67% | 96.11% | 96.57% | 98.33% | 96.34% | 873 | |||
| 64 | 96.83% | 95.33% | 95.58% | 97.62% | 95.45% | 795 | |||
| VGG19 | 16 | 93.48% | 90.26% | 90.28% | 95.03% | 90.27% | 695 | ||
| 32 | 94.61% | 92.18% | 91.11% | 95.92% | 91.64% | 662 | |||
| 64 | 93.58% | 90.82% | 89.30% | 95.07% | 90.05% | 689 | |||
| ALEXNET | 16 | 0.001 | 96.14% | 93.94% | 94.08% | 97.11% | 94.01% | 690 | |
| 32 | 95.80% | 93.72% | 93.49% | 96.74% | 93.60% | 649 | |||
| 64 | 95.28% | 92.70% | 93.39% | 96.51% | 93.04% | 615 | |||
| DENSENET | 16 | 97.67% | 96.04% | 96.72% | 98.36% | 96.38% | 3972 | ||
| 32 | 98.00% | 96.68% | 97.29% | 98.57% | 96.98% | 1940 | |||
| 64 | 98.01% | 96.64% | 97.11% | 98.58% | 96.87% | 1143 | |||
| EFFICEINTNET | 16 | 96.31% | 95.02% | 93.96% | 97.06% | 94.49% | 1238 | ||
| 32 | 95.98% | 93.84% | 93.88% | 96.92% | 93.86% | 1180 | |||
| 64 | 96.49% | 94.63% | 95.07% | 97.33% | 94.85% | 1128 | |||
| GOOGLENET | 16 |
|
| 95.30% | 92.63% | 92.69% | 96.56% | 92.66% | 989 |
| 32 | 94.78% | 91.78% | 92.01% | 96.15% | 91.89% | 845 | |||
| 64 | 95.12% | 92.34% | 92.58% | 96.42% | 92.46% | 762 | |||
| SQUEEZENET | 16 | 97.67% | 96.47% | 96.69% | 98.28% | 96.58% | 872 | ||
| 32 | 97.16% | 95.48% | 96.14% | 97.95% | 95.81% | 809 | |||
| 64 | 97.16% | 95.62% | 96.05% | 97.90% | 95.83% | 702 | |||
| VGG19 | 16 | 94.43% | 92.13% | 91.21% | 95.77% | 91.67% | 691 | ||
| 32 | 94.96% | 92.29% | 91.80% | 96.23% | 92.04% | 677 | |||
| 64 | 94.45% | 92.00% | 90.88% | 95.83% | 91.44% | 661 |