Segmentation and Classification of White Blood Cells Using the UNet

Table 1

Layers of the proposed model used.

Layer type	Output	Parameter
I2	(N, 300, 300, 3)	0
EF	(N, 10, 10, 1636)	11783535
Fl	(N, 163500)	0
DP	(N, 163500)	0
DN	(N, 4)	714404
Total params: 12, 497, 939
Trainable params: 12, 410, 936
Nontrainable params: 97, 606

I2, input layer; EF, efficient netblock; Fl, flatten layer; DP, dropout layer; DN, dense layer; N, none.