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

Table 9

Time comparison between our proposed IDConv-Net and state-of-the-art models (50 epochs).

Model	Time of first epoch (seconds)		Time per remaining epochs (seconds)		Total time (minutes)
	X-ray	CT	X-ray	CT	X-ray	CT
DenseNet201	129	138
VGG-19	296	319
ResNet50	89	103
VGG-16	278	296
AlexNet	167	187
DenseNet121	91	106
MobileNetV2	79	88
InceptionV3	132	158
Proposed IDConv-Net	84	96