Table 1.
Diagnostic accuracy of 17 CNNs for DLBCL.
| CNNs | Diagnostic accuracy (%) | ||
|---|---|---|---|
| Model A | Model B | Model C | |
| AlexNet | 92.08 | 93.57 | 95.12 |
| GoogleNet | 95.05 | 90.68 | 95.12 |
| Vgg16 | 95.05 | 94.53 | 99.50 |
| ResNet18 | 92.08 | 88.42 | 95.12 |
| SqueezeNet | 92.08 | 89.39 | 92.68 |
| MobileNetv2 | 90.10 | 88.42 | 92.68 |
| Inceptionv3 | 90.10 | 93.89 | 87.80 |
| DenseNet201 | 90.10 | 84.57 | 95.12 |
| Xception | 98.02 | 91.32 | 85.37 |
| Vgg19 | 87.13 | 93.25 | 92.68 |
| Places365GoogleNet | 96.04 | 92.93 | 95.12 |
| InceptionResNetv2 | 94.06 | 96.14 | 96.02 |
| ResNet50 | 86.14 | 90.68 | 87.80 |
| ResNet101 | 89.11 | 91.96 | 97.56 |
| NASNetMobile | 95.05 | 85.21 | 90.24 |
| NASNetLarge | 95.05 | 91.96 | 92.50 |
| ShuffleNet | 87.13 | 88.42 | 85.37 |
| GOTDP-MP-CNNs (with combined 17 CNNs) | 100.00 | 99.71 | 100.00 |