TABLE 7.
Ref. no/year | Images | Method | Dataset source | Performance | Class |
---|---|---|---|---|---|
2020 28 | CT images | Self‐Trans | COVID‐CT 28 |
0.85 F1 0.94 AUC |
COVID‐19 Non‐COVID‐19 |
2020 29 | CT images | DenseNet121‐FPN | From six cities in China | 0.86 AUC |
COVID‐19 Bacterial pneumonia Mycoplasma pneumonia Viral pneumonia Fungal pneumonia |
2020 30 | X‐ray images | CapsNet | COVID‐Chest X‐ray dataset |
Acc. 84.22 (Multi) Acc. 97.24 (Binary) |
COVID‐19 No‐findings Pneumonia |
2020 25 | CT images | Transfer learning on inception | Three hospitals from China |
0.93 AUC Specificity 88.0 Sensitivity 87.0 |
Viral pneumonia |
2020 31 | X‐ray images | DarkNet |
COVID‐Chest X‐ray dataset Chest X‐ray |
Sensitivity 85.53 Acc. 87.02 |
SARS‐COV‐2 No finding Pneumonia |
2020 32 | X‐ray images | FBD + ResNet50 + Softmax | 750 Images |
Acc. 98.6% Specificity 94% Sensitivity 96% |
Pneumonia COVID‐19 Healthy |
2020 26 | CT images | ARENET (ResNet50 and FPN) | Hospitals of two provinces in China |
Precision 93% Recall 93% Acc. 93% |
COVID‐19 Bacterial pneumonia Healthy |
2021 22 | X‐ray images | ResNet34 | Collected from two sources 18 | Acc. 98.33% |
Normal COVID‐19 |
2021 33 | X‐ray images | 22 layer CNN | COVID‐R 29 |
Acc. 99.1% (2 class) Acc. 94.2% (3 class) Acc. 91.2% (4 class) |
COVID‐19 Normal Pneumonia (viral + bacteria) |
2021 34 | X‐ray images | Transfer learning on CNN | COVIDGR 1.0 30 | Acc. 90.45% |
COVID Non‐COVID |
2021 61 | X‐ray images | InstacovNet‐19 | 3150 images |
Acc. 99.53% (2 class) Acc. 99.08% (3 class) |
COVID‐19 Pneumonia Normal |
2020 62 | X‐ray images | COVID‐Net | COVIDx Dataset | Acc. 93.3% |
COVID Non‐COVID Normal |
2020 63 | X‐RAY images | Transfer learning on VGG19 | 1424 images |
Acc.98.75 (2 class) Acc. 93.48 (3 class) |
COVID‐19 Pneumonia Normal |
The proposed method | X‐ray images | AlexNet + EfficientNet‐B0 + NASNetLarge + Xception and LDA | COVID‐19 image Dataset | Acc. 98.4% |
COVID Normal Viral pneumonia |
The proposed Method | X‐ray images | AlexNet + EfficientNet‐B0 + NASNetLarge + Xception and SVM | COVID‐19 Pneumonia Normal Chest X‐ray (PA) Dataset | Acc. 95.7% |
COVID Normal Viral pneumonia |
The proposed method | X‐ray images | AlexNet + EfficientNet‐B0 + NASNetLarge + Xception and LDA | COVID‐19 Radiography Database | Acc. 99.6% |
COVID Normal Pneumonia |