Research Article
Level Set Segmentation of Medical Images Based on Local Region Statistics and Maximum a Posteriori Probability
Table 2
The average JS values of the segmentation results obtained by the nine methods over the IBSR data set.
| Segmentation Method | WM | GM |
| Maximum a posteriori probability (MAP) | 0.554 | 0.550 | Adaptive MAP | 0.567 | 0.564 | Bias MAP | 0.562 | 0.558 | Fuzzy c-means (FCM) | 0.567 | 0.473 | Maximum likelihood (ML) | 0.551 | 0.535 | Tree-structure -means | 0.571 | 0.477 | FSL-FAST | 0.541 | 0.510 | SPM | 0.670 | 0.652 | Our method | 0.801 | 0.823 |
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