Table 3 Evaluation metrics of the Four class classification using the DDRNet Model.
From: An attention-based deep learning for acute lymphoblastic leukemia classification
Class | MCC | Recall | Precision | F1-score | Accuracy |
|---|---|---|---|---|---|
Eosinophil | 0.97 | 0.99 | 0.99 | 0.98 | 91.1 |
Monocyte | 1.00 | 1.00 | 1.00 | 1.00 | 92.8 |
Neutrophil | 0.97 | 1.00 | 0.96 | 0.98 | 91 |
Lymphocyte | 1.00 | 1.00 | 1.00 | 1.00 | 93 |
