Table 1.
Experiment results on deformation fields downsampled either by a factor of two or eight in each dimension. Shown are the classification accuracy of AdaBoost (AB), Random Forest (RF), and support vector machine (SVM) compared to the proposed voxel-wise displacement classifier (VDC). For each case, the downsampling factor is indicated as a suffix to the method name.
Experiment | AB-2 | AB-8 | RF-2 | RF-8 | SVM-2 | SVM-8 | VDC-2 | VDC-8 |
---|---|---|---|---|---|---|---|---|
|
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5 Youngest vs. 5 Oldest | 0.40 | 0.50 | 0.90 | 0.70 | 0.70 | 0.70 | 1.00 | 1.00 |
11 Youngest vs. 11 Oldest | 0.5 | 0.64 | 0.64 | 0.41 | 0.50 | 0.50 | 0.96 | 0.96 |
All MS vs. All Controls | 0.60 | 0.56 | 0.62 | 0.64 | 0.50 | 0.51 | 0.73 | 0.76 |
SPMS vs. Controls | 0.56 | 0.88 | 0.63 | 0.63 | 0.44 | 0.38 | 0.88 | 0.88 |
RRMS vs. Controls | 0.48 | 0.54 | 0.52 | 0.48 | 0.41 | 0.41 | 0.77 | 0.79 |