Chest X-ray Classification on OPI 4 (test)
88.16Atelectasis AUCNVUM
Evaluation results
| Method | Links | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| NVUMBackbone=DenseNet121, Training Dataset=NIH2021.03 | 88.16 | 92.57 | 95.64 | 72.48 | 97.06 | 88.79 | 90.9 | 85.78 | 86.56 | 83.7 | 91.67 | 84.82 | 94.28 | 88.65 | |
| ChestXNetBackbone=DenseNet121, Training Dataset=NIH2021.03 | 86.97 | 89.89 | 94.38 | 76.72 | 53.65 | 86.34 | 91.44 | 80.48 | 83.73 | 82.37 | 90.53 | 81.58 | 89.82 | 83.69 | |
| Hermoza et al.Backbone=DenseNet121, Training Dataset=NIH2021.03 | 86.85 | 89.49 | 95.05 | 77.48 | 95.72 | 82.68 | 88.15 | 75.34 | 85.31 | 83.26 | 86.26 | 77.99 | 93.9 | 86.01 | |
| Ma et al.Backbone=DenseNet121, Training Dataset=NIH2021.03 | 84.83 | 90.87 | 94.37 | 71.88 | 87.47 | 69.71 | 84.79 | 82.21 | 82.75 | 79.38 | 83.17 | 77.59 | 87.37 | 82.8 | |
| DivideMixBackbone=DenseNet121, Training Dataset=NIH2021.03 | 70.98 | 74.74 | 84.49 | 84.03 | 71.31 | 57.45 | 64.65 | 71.56 | 80.71 | 54.81 | 76.98 | 63.98 | 66.34 | 70.92 |