Exploiting Multiple Optimizers with Transfer Learning Techniques for the Identification of COVID-19 Patients

Table 4

Comparison of different studies.

Paper	Dataset	Objective	Approach	Highest avg. accuracy
Ghoshal et al. [32]	X-ray	COVID-19-image classification	CNN	92.9%
Pan et al. [8]	X-ray	COVID-19-image classification	ResNet50	98.0%
Zhang et al. [30]	X-ray	COVID-19-image classification	ResNet	95.18% (AUC)
Wang et al. [16]	X-ray	COVID-19-image classification	CNN	83.5%
Our paper	X-ray	COVID-19-image classification	MobileNetv2	97.0%