Table 6.
Study | Method | Dataset | Acc (%) | |
---|---|---|---|---|
Wang et al. [4] | COVID-Net | Training data | Testing data: | 93.3 |
7966 Normal | 100 Normal | |||
5438 Pneumonia | 100 Pneumonia | |||
258 COVID-19 | 100 COVID-19 | |||
Ozturk et al. [6] | DarkCovidNet | 500 Normal | 87.02 | |
500 Pneumonia | ||||
127 COVID-19 | ||||
Haghanifar et al. [12] | UNet+DenseNet | Training data | Testing data: | 87.21 |
3000 Normal | 724 Normal | |||
3400 Pneumonia | 672 Pneumonia | |||
400 COVID-19 | 144 COVID-19 | |||
Siddhartha and | COVIDLite | 668 Normal | 96.43 | |
Santra [10] | 619 Viral Pneumonia | |||
536 COVID-19 | ||||
Apostolopoulos and Mpesiana [13] | VGG19 | Testing data 1 | Testing data 2: | 93.48 & 94.72 |
504 Normal | 504 Normal | |||
700 Bacterial | 714 Viral& | |||
Pneumonia | Bacterial Pneumonia | |||
224 COVID-19 | 224 COVID-19 | |||
Proposed Method | Fus-ResNet50 | Testing data 1 | Testing data 2 | 95.57&94.44 |
2567 Normal | 6284 Normal | |||
2567 Pneumonia | 3478 Pneumonia | |||
2567 COVID-19 | 756 COVID-19 |