Table 2 Comparison with other related methods using BraTS2017
From: Automatic glioma segmentation based on adaptive superpixel
References | Methods description | Dice | HD (pixels) |
|---|---|---|---|
Proposed Methods | Automatic SLIC0 + SVM | 0.8492 | 3.47 |
Snake [12] | Classical algorithm | 0.6951 | 5.75 |
RegionGrow [11] | Classical algorithm | 0.3764 | 8.37 |
CV [17] | Classical algorithm | 0.4247 | 7.14 |
Soltaninejad et al. [25] | ERT + SLIC | 0.8263 | 3.62 |
Zhe Zhao et al. [26] | SLIC + CRF | 0.8052 | 3.83 |