Table 4 Performance Comparison of the proposed DDRNet with Residual Model.
From: An attention-based deep learning for acute lymphoblastic leukemia classification
Model | MCC | Recall | Precision | F1-score | Accuracy | Time |
|---|---|---|---|---|---|---|
ResNet 18 | 0.97 | 0.99 | 0.99 | 0.98 | 99.06 | 399m17s |
ResNet 50 | 1.00 | 1.00 | 1.00 | 1.00 | 99.20 | 1203m21s |
ResNet 101 | 0.97 | 1.00 | 0.96 | 0.98 | 99.60 | 1678m39s |
Proposed DDRNet | 1.00 | 1.00 | 1.00 | 1.00 | 99.86 | 161m19s |
