Research Article
Hematologic Cancer Detection Using White Blood Cancerous Cells Empowered with Transfer Learning and Image Processing
Table 6
AlexNet confusion matrix of testing samples after image processing (this depicts the testing confusion metric of AlexNet after image processing).
| | AlexNet | | Model (SGDM) | Lymphocyte | Monocyte | Neutrophil | | Sample = 2238 |
| | Lymphocyte | 719 | 0 | 9 | | Monocyte | 16 | 742 | 25 | | Neutrophil | 10 | 1 | 716 |
| | AlexNet | | Model (ADAM) | Lymphocyte | Monocyte | Neutrophil | | Sample = 2238 |
| | Lymphocyte | 674 | 15 | 14 | | Monocyte | 22 | 703 | 16 | | Neutrophil | 49 | 25 | 720 |
| | AlexNet | | Model (RMSPROP) | Lymphocyte | Monocyte | Neutrophil | | Sample = 2238 |
| | Lymphocyte | 714 | 30 | 36 | | Monocyte | 16 | 680 | 22 | | Neutrophil | 15 | 33 | 692 |
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