Research Article
Optimal Superpixel Kernel-Based Kernel Low-Rank and Sparsity Representation for Brain Tumour Segmentation
Table 1
Comparison of segmentation accuracy of different methods under different indicators.
| Methods | Dice | PPV | Sensitivity | Necrotic | Enhanced | Necrotic | Enhanced | Necrotic | Enhanced |
| Zhao et al. [27] | 0.84 | 0.77 | 0.87 | 0.76 | 0.82 | 0.80 | Havaei et al. [28] | 0.79 | 0.73 | 0.79 | 0.68 | 0.79 | 0.80 | Pereira et al. [29] | 0.83 | 0.77 | 0.87 | 0.74 | 0.83 | 0.81 | Tustison et al. [30] | 0.78 | 0.74 | 0.74 | 0.69 | 0.88 | 0.83 | Kwon et al. [31] | 0.83 | 0.72 | 0.90 | 0.74 | 0.78 | 0.72 | OSK-KLRR | 0.85 | 0.78 | 0.89 | 0.80 | 0.87 | 0.85 | OSK-KLRR-SR | 0.86 | 0.79 | 0.90 | 0.81 | 0.88 | 0.85 |
|
|