Table 7.

Class-wise classification performance of CNN-ELM to detect 14 diseases.

Diseases Name	Precision	Recall	F1-Score	Accuracy (%)
Atelectasis (0)	0.86	0.89	0.88	–
Cardiomegaly (1)	0.96	0.88	0.92	–
Effusion (2)	0.88	0.92	0.90	–
Infiltrate (3)	0.86	0.94	0.90	–
Mass (4)	0.90	0.83	0.86	–
Nodule (5)	0.90	0.83	0.87	–
Pneumonia (6)	1.00	0.78	0.88
Pneumothorax (7)	0.93	0.86	0.90	–
Consolidation (8)	0.97	0.85	0.91	–
Edema (9)	0.97	0.81	0.88	–
Emphysema (10)	0.94	0.81	0.87	–
Fibrosis (11)	0.96	0.84	0.90	–
Pleural Thickening (12)	0.93	0.85	0.89	–
Hernia (13)	0.95	0.82	0.88	–
Average	0.93	0.85	0.91	89.10