Pneumonia Classification on Cohen
96.04AccuracyProposed method
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| Proposed methodBackbone=ResNet-502024.08 | 96.04 | 96.7 | 94.9 | 95.77 | |
| Proposed methodBackbone=ResNet-1012024.08 | 95.19 | 95.59 | 94.19 | 94.86 | |
| CNN-basedVariant=Model A2024.08 | 92.52 | — | — | — | |
| CNN-basedVariant=Model B2024.08 | 91.05 | — | — | — | |
| Zhao et al.Approach=Channel-Attention Capsule2024.08 | 90.43 | 90.81 | 90.43 | 90.4 | |
| Goodwin et al.Approach=Ensemble learning2024.08 | 89.4 | 53.3 | 80 | 63.97 | |
| Densenet201Backbone=Densenet2012024.08 | 88.4 | 51.9 | 79 | 62.64 | |
| ResNet-101Backbone=ResNet-1012024.08 | 87.9 | 33.5 | 73 | 45.92 | |
| Densenet121Backbone=Densenet1212024.08 | 87.8 | 53.9 | 71 | 61.27 | |
| Densenet169Backbone=Densenet1692024.08 | 87.1 | 32.3 | 65.6 | 43.28 | |
| ResNet-50Backbone=ResNet-502024.08 | 87.1 | 38.4 | 71 | 49.84 | |
| Mobilenet_v2Backbone=Mobilenet_v22024.08 | 86.9 | 33.4 | 75 | 46.21 | |
| Gadza et al.2024.08 | 84.9 | 77.4 | 90.6 | 83.48 |