COVID-19 Classification from Chest X-Ray Images: A Framework of Deep Explainable Artificial Intelligence

Table 2

Proposed framework COVID-19 classification results on COVID-19 Radiography database.

Classifiers	Features					Measures
	EffNet	VGG16	SL EffNet	SL VGG16	Proposed	Accuracy (%)	Time (%)
Softmax	✓					90.1	122.8954
		✓				90.6	151.4584
			✓			95.2	78.5363
				✓		95.0	91.6678
					✓	97.6	70.7674
Naïve Bayes	✓					88.4	131.4453
		✓				88.9	162.5654
			✓			93.5	87.3422
				✓		93.8	97.0864
					✓	95.1	86.2355
MCSVM	✓					91.0	126.4433
		✓				91.5	149.5465
			✓			93.9	81.6743
				✓		94.5	97.7682
					✓	95.9	76.3476
ELM	✓					92.8	114.6752
		✓				88.5	136.8684
			✓			95.5	72.9005
				✓		95.2	86.0454
					✓	99.1	65.6294