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Table 4 The overall performance classification results of COVID-19 datasets using the Inception V3 model

From: HDSNE a new unsupervised multiple image database fusion learning algorithm with flexible and crispy production of one database: a proof case study of lung infection diagnose In chest X-ray images

Dataset

Classification Type

Accuracy

Recall

Precision

F1-score

DB\(^1\)

Multi-class

94

94

94

93

DB\(^2\)

Multi-class

94

94

94

94

DB\(^3\)

Binary-class

71

71

71

71

DB\(^4\)

Binary-class

72.22

72.5

72.22

72.14

DB\(^5\)

Binary-class

89.47

90.79

89.47

88.51

DB\(^6\)

Multi-class

79.35

78.7

79.35

78.6

All DBs

Multi-class

69.3

83.61

69.3

70.08

Final dataset

Multi-class

98.48

98.5

98.48

98.48