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. Author manuscript; available in PMC: 2013 Nov 12.
Published in final edited form as: Proc SPIE Int Soc Opt Eng. 2013 Mar 13;8669:10.1117/12.2007150. doi: 10.1117/12.2007150

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

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