Table 1.
Detection performance results for various CNN models with a 75/25 training/testing ratio on the first dataset.
| Models | Evaluation metric | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| ACC | SEN | SPE | PRECI | F1_score | MCC | Error | Kappa | FPR | |
| InceptionResNetv2 | 0.9130 | 0.9348 | 0.8913 | 0.8958 | 0.9149 | 0.8269 | 0.0870 | 0.8261 | 0.1087 |
| Inceptionv3 | 0.8804 | 0.9130 | 0.8478 | 0.8571 | 0.8842 | 0.7625 | 0.1196 | 0.7609 | 0.1522 |
| ResNet50 | 0.9348 | 0.9348 | 0.9348 | 0.9348 | 0.9348 | 0.8696 | 0.0652 | 0.8696 | 0.0652 |
| Transfer learning model | 0.9130 | 0.9130 | 0.9130 | 0.9130 | 0.9130 | 0.8261 | 0.0870 | 0.8261 | 0.0870 |
| BRAIN-TUMOR-net | 0.8478 | 0.8043 | 0.8913 | 0.8810 | 0.8409 | 0.6983 | 0.1522 | 0.6957 | 0.1087 |