Table 10.
Comparisons with other methods on BRATS 2015 testing dataset.
Methods | Dice | Positive Predictive Value | Sensitivity | ||||||
---|---|---|---|---|---|---|---|---|---|
|
|
|
|||||||
Complete | Core | Enhancing | Complete | Core | Enhancing | Complete | Core | Enhancing | |
DeepMedic + CRF (Kamnitsas et al., 2017) | 0.847 | 0.67 | 0.629 | 0.85 | 0.848 | 0.634 | 0.876 | 0.607 | 0.662 |
Our method(axial) | 0.80 | 0.68 | 0.61 | 0.82 | 0.75 | 0.59 | 0.81 | 0.71 | 0.68 |
Our method(coronal) | 0.80 | 0.69 | 0.61 | 0.77 | 0.70 | 0.61 | 0.87 | 0.76 | 0.65 |
Our method(sagittal) | 0.78 | 0.69 | 0.57 | 0.80 | 0.74 | 0.51 | 0.80 | 0.71 | 0.72 |
Our method(fusing) | 0.82 | 0.72 | 0.62 | 0.84 | 0.78 | 0.60 | 0.83 | 0.73 | 0.69 |
Our FCNN(axial) + 3D CRF | 0.84 | 0.72 | 0.62 | 0.88 | 0.75 | 0.62 | 0.82 | 0.76 | 0.67 |
Our FCNN(coronal) + 3D CRF | 0.83 | 0.72 | 0.62 | 0.88 | 0.75 | 0.62 | 0.82 | 0.75 | 0.66 |
Our FCNN(sagittal) + 3D CRF | 0.82 | 0.72 | 0.60 | 0.88 | 0.75 | 0.59 | 0.81 | 0.76 | 0.67 |
Our FCNN + 3D CRF (fusing) | 0.84 | 0.73 | 0.62 | 0.89 | 0.76 | 0.63 | 0.82 | 0.76 | 0.67 |