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Table 1 The collected COVID-19 X-ray images databases for final data aggregation (“-” meaning that this class does not exist)

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

Num

Data Name

Data Source

Normal

Pneumonia

COVID-19

Resolution

Total

1

Imagery

DB1 [20]

90

90

137

Varied

317

2

Radiography

DB2 [21]

1341

1345

209

\(1024\times 1024\)

2905

3

Patient

DB3 [22]

140

-

144

Varied

284

4

X-ray

DB4 [23]

94

94

-

Varied

188

5

Patients Lungs

DB5 [24]

28

-

70

Varied

98

6

CoronaHack

DB6 [25]

1574

4276

58

Varied

5908

Total

6

6

3267

5805

618

Varied

9690