Research Article
MRF-IUNet: A Multiresolution Fusion Brain Tumor Segmentation Network Based on Improved Inception U-Net
Table 1
Segmentation performance of different models.
| Model | DSC | IOU | PPV | ET | WT | TC | ET | WT | TC | ET | WT | TC |
| U-Net | 0.9222 | 0.7696 | 0.9004 | 0.8998 | 0.7412 | 0.8805 | 0.9371 | 0.7828 | 0.9106 | ResU-Net | 0.9332 | 0.8167 | 0.9123 | 0.9107 | 0.7893 | 0.8915 | 0.9493 | 0.8373 | 0.9208 | DenseU-Net | 0.9339 | 0.7336 | 0.9225 | 0.9124 | 0.7057 | 0.9042 | 0.9526 | 0.7444 | 0.9356 | DeepLabv3+ | 0.8986 | 0.6819 | 0.8745 | 0.8697 | 0.6504 | 0.8521 | 0.9215 | 0.6922 | 0.8839 | MRF-IUNet | 0.9410 | 0.8329 | 0.9324 | 0.9195 | 0.8049 | 0.9137 | 0.9560 | 0.8489 | 0.9419 |
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