Image Classification on Kaggle chest CT scan dataset (train)
0.0088Training LossProposed Model
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Proposed ModelEpoch No.=302026.04 | 0.0088 | 99.85 | |
| Proposed ModelEpoch No.=202026.04 | 0.0459 | 98.81 | |
| ResNet152Epoch No.=302026.04 | 0.0718 | 99.85 | |
| VGG16Epoch No.=302026.04 | 0.1248 | 97.04 | |
| MobileNet V2Epoch No.=302026.04 | 0.1971 | 96 | |
| VGG16Epoch No.=202026.04 | 0.2159 | 93.48 | |
| ResNet152Epoch No.=102026.04 | 0.2287 | 94.07 | |
| MobileNet V2Epoch No.=202026.04 | 0.3159 | 89.93 | |
| MobileNet V2Epoch No.=102026.04 | 0.4129 | 88.15 | |
| VGG16Epoch No.=102026.04 | 0.4714 | 81.33 | |
| Proposed ModelEpoch No.=102026.04 | 0.5242 | 80.44 | |
| Inception V3Epoch No.=102026.04 | 0.6493 | 85.04 | |
| Inception V3Epoch No.=302026.04 | 0.7596 | 87.7 | |
| Inception V3Epoch No.=202026.04 | 0.8626 | 82.67 | |
| ResNet152Epoch No.=202026.04 | 1.0216 | 77.33 |