Research Article
Hematologic Cancer Detection Using White Blood Cancerous Cells Empowered with Transfer Learning and Image Processing
Table 8
RESNET confusion matrix of testing samples after image processing (this depicts the testing confusion metric of ResNet after image processing).
| | ResNet | | Model (SGDM) | Lymphocyte | Monocyte | Neutrophil | | Sample = 2238 |
| | Lymphocyte | 717 | 1 | 0 | | Monocyte | 21 | 409 | 391 | | Neutrophil | 7 | 333 | 352 |
| | ResNet | | Model (ADAM) | Lymphocyte | Monocyte | Neutrophil | | Sample = 2238 |
| | Lymphocyte | 736 | 1 | 1 | | Monocyte | 1 | 319 | 314 | | Neutrophil | 8 | 423 | 428 |
| | ResNet | | Model (RMSPROP) | Lymphocyte | Monocyte | Neutrophil | | Sample = 2238 |
| | Lymphocyte | 728 | 6 | 3 | | Monocyte | 16 | 608 | 612 | | Neutrophil | 1 | 129 | 128 |
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