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. 2022 Mar 28;28(3):732–738. doi: 10.1016/j.radi.2022.03.011

Table 3.

Comparison of the proposed method with DarkCovidNet (3-class problem).

	Proposed Method	DarkCovidNet
Sensitivity	95.20	88.17
Specificity	100	93.66
Precision	92.50	90.97
F1-score	91.20	89.44
Accuracy	89.70	89.33