Image Classification on Kaggle chest CT scan dataset (test)
0.5303Test LossResNet152
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| ResNet152Epoch No.=302026.04 | 0.5303 | 77.78 | 78 | 81 | 79 | 1.0954 | 77.78 | |
| ResNet152Epoch No.=102026.04 | 0.5643 | 75.56 | 77 | 80 | 78 | 1.1561 | 75.56 | |
| Proposed ModelEpoch No.=302026.04 | 0.6405 | 84.44 | 85 | 87 | 86 | 0.9562 | 84.44 | |
| Proposed ModelEpoch No.=102026.04 | 0.6794 | 63.49 | 67 | 70 | 67 | 1.4606 | 63.49 | |
| VGG16Epoch No.=302026.04 | 0.7083 | 75.22 | 76 | 75 | 75 | 1.1533 | 75.22 | |
| VGG16Epoch No.=202026.04 | 0.8649 | 67.94 | 69 | 70 | 69 | 1.2742 | 67.94 | |
| MobileNet V2Epoch No.=302026.04 | 0.9228 | 61.27 | 65 | 69 | 64 | 1.2574 | 61.27 | |
| MobileNet V2Epoch No.=102026.04 | 0.929 | 58.41 | 65 | 66 | 62 | 1.3916 | 58.41 | |
| Proposed ModelEpoch No.=202026.04 | 0.9572 | 70.79 | 73 | 76 | 73 | 1.3117 | 70.79 | |
| MobileNet V2Epoch No.=202026.04 | 1.2249 | 52.06 | 67 | 62 | 55 | 1.3464 | 52.06 | |
| VGG16Epoch No.=102026.04 | 1.3323 | 62.54 | 63 | 66 | 63 | 1.2737 | 62.54 | |
| ResNet152Epoch No.=202026.04 | 1.6644 | 65.08 | 78 | 67 | 62 | 1.4387 | 65.08 | |
| Inception V3Epoch No.=102026.04 | 9.256 | 36.51 | 44 | 45 | 39 | 1.4265 | 36.51 | |
| Inception V3Epoch No.=202026.04 | 11.9857 | 45.71 | 51 | 53 | 47 | 1.7229 | 45.71 | |
| Inception V3Epoch No.=302026.04 | 12.4272 | 42.86 | 49 | 55 | 45 | 1.4939 | 42.86 |