COVID-19 Classification on Frontal Chest X-ray Images (COVID-19 Pneumonia)
98.41F1 (CP Class)Rajaraman et al
Evaluation results
| Method | Links | |
|---|---|---|
| Rajaraman et alNum CP Images=313, Pediatric Bias=No, Pretrained Weights=Yes, ImageNet, Architecture=Multiple (Ensemble) Best: InceptionV3, Lung Segmentation=Yes, U-Net2020.06 | 98.41 | |
| Khan et alNum CP Images=284, Pediatric Bias=Yes, Pretrained Weights=Yes, ImageNet, Architecture=Xception, Lung Segmentation=No2020.06 | 95.6 | |
| Wang and WangNum CP Images=358, Pediatric Bias=No, Pretrained Weights=No, Architecture=COVID-Net (Custom Architecture), Lung Segmentation=No2020.06 | 94.8 | |
| Mangal et alNum CP Images=358, Pediatric Bias=Yes, Pretrained Weights=Yes, CheXNet, Architecture=DenseNet, Lung Segmentation=No2020.06 | 92.3 | |
| COVID-CXNetNum CP Images=700, Pediatric Bias=No, Pretrained Weights=Yes, CheXNet, Architecture=DenseNet, Lung Segmentation=Yes, U-Net2020.06 | 92.21 | |
| Zhang et alNum CP Images=100, Pediatric Bias=No, Pretrained Weights=Yes, ImageNet, Architecture=ResNet, Lung Segmentation=No2020.06 | 72 |