FPGA-Based Deep Learning Models for Analysing Corona Using Chest X-Ray Images

Table 1

Comparison of a few works.

S. no.	Model		Inferences
1	Xception and ResNet50V2 [18]	X-ray images	Learning used is transfer learning
			Precision is low, and the dataset is unbalanced
			Accuracy is better
2	Decompose, transfer, and compose (DeT raC) model	X-ray images	Learning used is transfer learning
			Accuracy: 95.12%
3	COVIDGAN	Synthetic X-ray images	Accuracy: 95%
4	AlexNet, GoogLeNet, Squeeznet, and ResNet18 are selected as deep transfer learning models	X-ray images of two categories, namely, normal and pneumonia	An appropriate model that shows an accuracy of 99%