Table 6.
Comparative analysis of the proposed model with recently proposed models.
Dataset | Author | Model | ACC (%) | SEN (%) | SPE (%) | PPV (%) | F1 (%) | AUC (%) |
---|---|---|---|---|---|---|---|---|
Dataset 1 | Chowdhury et al. [47] | DenseNet201 | 97.9 | 97.9 | 98.8 | 97.95 | – | – |
Bassi et al. [49] |
DenseNet121 |
98.3 |
– |
– |
98.3 |
98.30 |
– |
|
Proposed models | WCLCheXNet | 98.87 | 98.86 | 99.43 | 100 | 98.21 | 99.15 | |
SMOTEDenseNet201 | 98.64 | 98.36 | 99.35 | 98.64 | 98.63 | 98.97 | ||
Dataset 2 | Haghanifar et al. [79] | CheXNet | – | – | – | – | 85 | – |
Ozturk et al. [83] |
DarkNet |
87.02 |
– |
– |
– |
– |
– |
|
Proposed models | WCLDenseNet201 | 93.58 | 93.58 | 96.79 | 93.58 | 93.58 | 95.38 | |
SMOTEDenseNet201 | 92.28 | 92.20 | 96.10 | 92.20 | 92.20 | 94.38 | ||
Dataset 3 | Wang et al. [44] | COVID-Net | 92.4 | 88 | – | 91 | – | – |
Oh et al. [30] |
ResNet-18 |
91.9 |
– |
– |
76.9 |
– |
– |
|
Proposed models | WCLVGG19 | 94.87 | 94.87 | 97.43 | 94.92 | 94.87 | 94.86 | |
SMOTEVGG19 | 93.66 | 93.66 | 96.83 | 93.66 | 93.66 | 92.00 |