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. Author manuscript; available in PMC: 2018 Jul 25.
Published in final edited form as: Magn Reson Imaging. 2016 May 20;34(8):1087–1099. doi: 10.1016/j.mri.2016.05.001

Table 4.

Discrimination performances (overall accuracy (Acc), sensitivity (Sen), and Specificity (Spe)) of each structure by combining the volume feature and each of the three shape features at different dimensions (original – no dimension reduction; PCA — dimension reduced via PCA; PCA + ttest — dimension reduced via PCA followed by a Student's t-test) with two classification algorithms — LDA and SVM.

LDA SVM


Original PCA PCA + ttest Original PCA PCA + ttest
Left Hippocampus Acc 56.8% 78.4% 75.7% 83.8% 83.8% 75.7%
Sen 40.9% 72.7% 68.2% 77.3% 86.4% 68.2%
Spe 80.0% 86.7% 86.7% 93.3% 80.0% 86.7%
Right Hippocampus Acc 59.5% 73.0% 86.5% 78.4% 73.0% 89.2%
Sen 50.0% 59.1% 81.8% 72.7% 68.2% 86.4%
Spe 73.3% 93.3% 93.3% 86.7% 80.0% 93.3%
Left Amygdala Acc 51.4% 70.3% / 62.2% 70.3% /
Sen 54.5% 63.6% / 59.1% 72.7% /
Spe 46.7% 80.0% / 66.7% 66.7% /
Right Amygdala Acc 29.7% 62.2% / 59.5% 48.6% /
Sen 31.8% 50.0% / 59.1% 31.8% /
Spe 26.7% 80.0% / 60.0% 73.3% /

Note: Student's t-tests were not applicable for the amygdalar shape features.