Research Article
A Unified Level Set Framework Combining Hybrid Algorithms for Liver and Liver Tumor Segmentation in CT Images
Table 2
Segmentation performance of the proposed method on the two public datasets.
| | VOE | RVD | ASD | RMSD | MSD |
| SLIVER07 | | | | | | Mean | 4.86 | -0.70 | 0.90 | 1.59 | 7.82 | SD | 3.09 | 3.30 | 0.66 | 1.41 | 7.86 | Worst | 24.06 | -18.03 | 4.51 | 8.63 | 49.90 | Best | 0.37 | 0 | 0.13 | 0.20 | 0.66 | 3Dircadb | | | | | | Mean | 6.73 | -1.02 | 1.29 | 2.04 | 9.68 | SD | 3.10 | 3.76 | 0.56 | 1.18 | 7.42 | Worst | 22.62 | -18.33 | 3.65 | 6.95 | 45.03 | Best | 1.32 | 0 | 0.21 | 0.37 | 0.78 |
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