Efficient Framework for Detection of COVID-19 Omicron and Delta Variants Based on Two Intelligent Phases of CNN Models

Table 7

Performance comparison of different models for classification of COVID-19.

Model	Accuracy	Precision	Recall
xDNN [22]	97.3	99.1	95.5
DenseNet201 [23]	96.2	96.2	96.2
Modified VGG19 [24]	95.0	95.3	94.0
COVID CT-Net [25]	90.7	88.5	85.0
Contrastive learning [26]	90.8	95.7	85.8
Proposed
First phase (X-ray data used)	98.83	99.5	99
Second phase (CT data used)	99.7	99.8	99.7
The whole framework	All cases can be classified correctly