D2-CovidNet: A Deep Learning Model for COVID-19 Detection in Chest X-Ray Images

Table 1

Parameters of each layer of D2-CovidNet.

Layer (type)	Output shape	Params
Conv2d-1	[−1, 16, 224, 224]	464
DPM-2	[−1, 32, 112, 112]	1968
DPM-3	[−1, 48, 56, 56]	3888
DPM-4	[−1, 64, 28, 28]	6720
DPM-5	[−1, 80, 14, 14]	10320
DPM-6	[−1, 96, 7, 7]	14688
DW-7	[−1, 112, 7, 7]	12032
DDS-8	[−1, 16, 7, 7]	3056
DDS-9	[−1, 16, 7, 7]	3488
DDS-10	[−1, 16, 7, 7]	3920
DDS-11	[−1, 16, 7, 7]	4352
DDS-12	[−1, 16, 7, 7]	4784
DDS-13	[−1, 16, 7, 7]	5216
DDS-14	[−1, 16, 7, 7]	5648
DDS-15	[−1, 16, 7, 7]	6080
DDS-16	[−1, 16, 7, 7]	6512
Conv2d-17	[−1, 480, 1, 1]	124320
SoftMax-18	SoftMax-18	1443
Total params	218755
Input size (MB)	0.57