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

Table 4.

Comparison of the proposed method with DarkCovidNet (2-class problem).

Performance Metrics Fold 1 Fold 2 Fold 3 Fold 4 Fold 5 Average
Sensitivity Proposed Method 95.20 95.40 96.70 81.40 91.40 92.08
DarkCovidNet 100 96.42 90.47 93.75 93.18 95.13
Specificity Proposed Method 100 100 100 89.90 100 99.78
DarkCovidNet 100 96.42 90.47 93.75 93.18 95.30
Precision Proposed Method 99.50 99.50 99.40 95.30 99.02 98.54
DarkCovidNet 100 94.52 98.14 98.57 98.58 98.03
F1-score Proposed Method 98.50 98.50 98.20 92.50 97.30 97.00
DarkCovidNet 100 95.52 93.79 95.93 95.62 96.51
Accuracy Proposed Method 99.20 99.20 99.20 95.20 98.40 98.24
DarkCovidNet 100 97.60 96.80 97.60 97.60 98.08