Table 7 Comparison of existing and proposed models for various performance metrics for the COVID-19 chest X-ray image dataset.

From: Medical application driven content based medical image retrieval system for enhanced analysis of X-ray images

Models

Accuracy

(%)

Precision

(%)

Recall

(%)

F1-score (%)

MAE (%)

MSE

(%)

RMSE

(%)

Bi-LSTM

88.45

90.43

95.46

94.36

3.675

2.6754

3.567

RNN

85.65

87.35

90.45

90.45

1.8657

3.675

1.567

GRU

90.34

93.45

96.45

89.34

2.685

1.345

2.564

DenseNet 129

95.97

86.56

89.45

96.78

0.4531

4.986

0.567

Mobile Net

93.56

96.45

95.04

95.89

2.6785

0.675

4.5454

Proposed

99.54

97.13

97.13

97.13

0.0046

0.0093

0.0963