Research Article
Automated Segmentation Method for Low Field 3D Stomach MRI Using Transferred Learning Image Enhancement Network
Table 7
Comparison of segmentation results of different image enhancement methods.
| Method | Metric | #patient | Mean | 1 | 2 | 3 | 4 |
| Traditional_based | DC | 0.643 | 0.853 | 0.621 | 0.544 | 0.665 | Haus | 9 | 8.062 | 6.708 | 8.485 | 8.064 | Sen | 0.494 | 0.781 | 0.475 | 0.403 | 0.538 | Spe | 0.999 | 0.999 | 0.999 | 0.999 | 0.999 | OR | 0.039 | 0.047 | 0.052 | 0.073 | 0.053 | UR | 0.486 | 0.208 | 0.497 | 0.553 | 0.436 |
| CycleGAN_based | DC | 0.684 | 0.865 | 0.681 | 0.532 | 0.690 | Haus | 9 | 7.874 | 6.708 | 8 | 7.895 | Sen | 0.535 | 0.814 | 0.551 | 0.509 | 0.602 | Spe | 0.999 | 0.999 | 0.999 | 0.999 | 0.999 | OR | 0.029 | 0.064 | 0.064 | 0.026 | 0.046 | UR | 0.451 | 0.174 | 0.419 | 0.478 | 0.381 |
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