Table 2.

Comparison of AUROC performance on the benchmark split of Chest X-ray14 dataset

Diseases	DCNN [20]	CheXNet [11]	SENet [12]	SDFN [21]
Atelectasis	0.7837	0.7919	0.7963	0.7810
Cardiomegaly	0.8937	0.9038	0.9085	0.8850
Effusion	0.8704	0.8744	0.8769	0.8320
Infiltration	0.6826	0.6942	0.6974	0.7000
Mass	0.7875	0.8142	0.8144	0.8150
Nodule	0.7125	0.7286	0.7509	0.7650
Pneumonia	0.7110	0.7477	0.7566	0.7190
Pneumothorax	0.8232	0.8431	0.8467	0.8660
Consolidation	0.7895	0.7933	0.7996	0.7430
Edema	0.8673	0.8777	0.8864	0.8420
Emphysema	0.8398	0.8726	0.8907	0.9210
Fibrosis	0.7656	0.7986	0.8041	0.8350
Pleural thickening	0.7398	0.7528	0.7547	0.7910
Hernia	0.8406	0.8545	0.9035	0.9110
Average	0.7934	0.8105	0.8205	0.8150

Diseases	AGCNN [16]	SalNet [17]	Ours w/o ${\mathit{F}}_{\mathit{l}}$	Ours
Atelectasis	0.8076	0.7750	0.8151	0.8073
Cardiomegaly	0.8987	0.8810	0.9100	0.9069
Effusion	0.8682	0.8310	0.8779	0.8401
Infiltration	0.6933	0.6950	0.6923	0.7901
Mass	0.8314	0.8260	0.8290	0.8131
Nodule	0.7661	0.7890	0.7553	0.8377
Pneumonia	0.7383	0.7410	0.7401	0.7465
Pneumothorax	0.8431	0.8790	0.8516	0.8728
Consolidation	0.7945	0.7470	0.8038	0.7831
Edema	0.8791	0.8460	0.8858	0.8575
Emphysema	0.8967	0.9360	0.8849	0.8605
Fibrosis	0.7936	0.8330	0.8077	0.8494
Pleural thickening	0.7642	0.7930	0.7573	0.8123
Hernia	0.9344	0.9170	0.8995	0.8915
Average	0.8221	0.8210	0.8222	0.8335

The float numbers with bold font denote the best performance