White Blood Cell Classification on augmented WBC data (test)
97.82PrecisionDCENWCNet
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| DCENWCNetOptimizer=Adam, Training time=40min 04s2025.02 | 97.82 | 98.17 | 98.34 | 98.53 | |
| SVMTraining time=1hr 52min 10s2025.02 | 97.23 | — | 96.14 | 96.04 | |
| EfficientNetv2Training time=48min 35s2025.02 | 97.14 | 98.41 | 98.21 | 97.77 | |
| AlexNetTraining time=1h 29min 35s2025.02 | 94.28 | 94.36 | 94.39 | 93.45 | |
| DenseNetTraining time=52min 42s2025.02 | 94.02 | 97.07 | 95.42 | 97.12 | |
| SqueezeNet-FCMTraining time=1h 54min 40s2025.02 | 93.25 | 94.33 | 91.36 | 94.28 | |
| ResNet50Training time=48min 52s2025.02 | 92.87 | 96.15 | 94.28 | 96.36 | |
| RCNNTraining time=1h 10min 16s2025.02 | 91.36 | 92.56 | 91.25 | 93.25 | |
| VGG19Training time=1h 62min 11s2025.02 | 88.06 | 91.94 | 77 | 92.46 | |
| MobileNetV2Training time=49min 39s2025.02 | 86.51 | 94.78 | 89.5 | 95.33 | |
| DCENWCNetOptimizer=RMSProp, Training time=42min 04s2025.02 | 85.53 | 94.08 | 88.58 | 93.53 | |
| Inception v3Training time=58min 20s2025.02 | 78.39 | 88.31 | 82.47 | 89.56 | |
| VGG16Training time=1h 48min 28s2025.02 | 78.31 | 74.29 | 68.5 | 90.59 |