Hematologic Cancer Detection Using White Blood Cancerous Cells Empowered with Transfer Learning and Image Processing

Table 7

Mobile net confusion matrix of testing samples after image processing (this depicts the testing confusion metric of the mobile net after image processing).

MobileNet
Model (SGDM)	Lymphocyte	Monocyte	Neutrophil
Sample = 2238
Lymphocyte	678	44	47
Monocyte	0	284	308
Neutrophil	67	415	388
MobileNet
Model (ADAM)	Lymphocyte	Monocyte	Neutrophil
Sample = 2238
Lymphocyte	676	3	5
Monocyte	28	339	348
Neutrophil	41	401	390
MobileNet
Model (RMSPROP)	Lymphocyte	Monocyte	Neutrophil
Sample = 2238
Lymphocyte	729	13	14
Monocyte	16	559	570
Neutrophil	0	171	159