Research Article
Convolutional Neural Networks for Recognition of Lymphoblast Cell Images
Table 5
Accuracy of ConVNet, SVM-GA, MLP, and random forest to identify lymphocytes, pre-T, and pre-B cells over ten test sets.
| Test set | ConVNet | SVM-GA | MLP | Random forest |
| 1 | 82.64 | 81.82 | 74.38 | 78.51 | 2 | 80.17 | 80.99 | 75.21 | 72.73 | 3 | 85.12 | 80.17 | 75.21 | 79.34 | 4 | 80.17 | 80.17 | 76.86 | 80.99 | 5 | 78.51 | 79.34 | 76.03 | 78.51 | 6 | 78.51 | 81.82 | 73.55 | 76.86 | 7 | 83.47 | 80.99 | 78.51 | 79.34 | 8 | 85.95 | 81.82 | 81.82 | 80.99 | 9 | 83.47 | 86.78 | 76.03 | 79.34 | 10 | 79.34 | 82.64 | 73.55 | 77.69 | Average | 81.74 ± 2.74 | 81.65 ± 2.05 | 76.12 ± 2.51 | 78.43 ± 2.38 |
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