An Enhanced Technique of COVID-19 Detection and Classification Using Deep Convolutional Neural Network from Chest X-Ray and CT Images

Table 3

The proposed IDConv-Net model with its layers and output size.

Layer No	Name	Layer Type	Output size
1	Input	—
2	C1	conv2d
3	A1	Activation
4	M1	max_pooling
5	C2	conv2d
6	A2	Activation
7	M2	max_pooling
8	C3	conv2d
9	A3	Activation
10	M3	max_pooling
11	C4	conv2d
12	A4	Activation
13	M4	max_pooling
14	C5	conv2d
15	F1	Flatten
16	D1	Dense
17	Dr1	Dropout
18	D2	Dense
19	A5	Activation