Research Article
MR Image Classification for Brain Tumor Texture Based on Pseudo-Label Learning and Optimized Feature Extraction
Table 5
Comparisons of classification results of different methods.
| Feature extraction | Texture classification | Accuracy (%) | Time (s) |
| — | VGG | 71.89 | 119 | — | ResNet | 79.33 | 108 | — | DenseNet | 81.39 | 105 | — | ViT | 86.67 | 197 | — | CRNN | 77.33 | 72 | Autoencoder (DenseNet+ResNet) | CRNN | 87.34 | 46 | U-Net (DenseNet+ResNet) | CRNN | 89.00 | 46 | U-Net (DenseNet+ResNet)+CBAM | CRNN | 94.23 | 49 |
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