Pneumonia Classification on Kermany (test)
0.9841AccuracyAAPSO
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| AAPSOBackbone=ResNet502022.08 | 0.9841 | 0.988 | 0.9902 | 0.9891 | |
| Chattopadhyay et al.2022.08 | 0.9836 | 0.9898 | 0.9879 | 0.9888 | |
| Mahmud et al.2022.08 | 0.981 | 0.98 | 0.985 | 0.983 | |
| Dey et al.2022.08 | 0.9794 | 0.9502 | 0.9755 | 0.9627 | |
| Rajaraman et al.2022.08 | 0.962 | 0.977 | 0.962 | 0.97 | |
| Saraiva et al.2022.08 | 0.953 | 0.9886 | 0.9477 | 0.9677 | |
| Ibrahim et al.2022.08 | 0.9443 | — | 0.9819 | — | |
| Stephen et al.2022.08 | 0.9373 | — | — | — | |
| MobileNet+DenseNet EnsembleParameters=Very High, Complexity=Very High2026.01 | 0.9215 | 0.9226 | 0.909 | — | |
| VGG16 (Transfer Learning)Parameters=~138 Million, Complexity=High2026.01 | 0.9166 | 0.87 | 0.82 | — | |
| Proposed Custom CNNParameters=~2 Million, Complexity=Low2026.01 | 0.9103 | 0.8976 | 0.9667 | — | |
| Sharma et al.2022.08 | 0.9068 | — | — | — | |
| Linag & Zheng2022.08 | 0.905 | 0.891 | 0.967 | 0.927 | |
| InceptionV3Parameters=~23 Million, Complexity=Medium2026.01 | 0.8967 | 0.901 | 0.885 | — | |
| ResNet50Parameters=~25 Million, Complexity=Medium2026.01 | 0.8798 | 0.88 | 0.91 | — |