Table 3 Effect of augmentation for volumetric representations (BACC: balanced accuracy, AUC: Area under the ROC curve) on ADNI and AIBL, as well as, the concordance index (c-index) for ADNI.

From: Hippocampal representations for deep learning on Alzheimer’s disease

Repr

Aug

ADNI BACC

ADNI AUC

AIBL BACC

AIBL AUC

c-index

FSL

Mask

\(\times \)

\(0.766 \pm 0.015\)

\(0.843 \pm 0.016\)

\(0.728 \pm 0.015\)

\(0.813 \pm 0.015\)

\(0.597 \pm 0.036\)

Mask

\(\checkmark \)

\(0.801 \pm 0.011\)

\(0.869 \pm 0.007\)

\(0.765 \pm 0.016\)

\(0.853 \pm 0.006\)

\(0.623 \pm 0.017\)

Texture

\(\times \)

\(0.788 \pm 0.021\)

\(0.861 \pm 0.018\)

\(0.753 \pm 0.036\)

\(0.843 \pm 0.014\)

\(0.583 \pm 0.029\)

Texture

\(\checkmark \)

\(0.819 \pm 0.014\)

\(0.888 \pm 0.007\)

\(0.795 \pm 0.019\)

\(0.870 \pm 0.010\)

\(0.631 \pm 0.028\)

FreeSurfer

Mask

\(\times \)

\(0.787 \pm 0.014\)

\(0.855 \pm 0.014\)

\(0.754 \pm 0.029\)

\(0.828 \pm 0.018\)

\(0.630 \pm 0.029\)

Mask

\(\checkmark \)

\(0.803 \pm 0.011\)

\(0.879 \pm 0.008\)

\(0.781 \pm 0.012\)

\(0.868 \pm 0.004\)

\(0.646 \pm 0.037\)

Texture

\(\times \)

\(0.786 \pm 0.007\)

\(0.854 \pm 0.013\)

\(0.757 \pm 0.030\)

\(0.843 \pm 0.025\)

\(0.610 \pm 0.031\)

Texture

\(\checkmark \)

\(0.808 \pm 0.011\)

\(0.886 \pm 0.006\)

\(0.783 \pm 0.014\)

\(0.864 \pm 0.005\)

\(0.657 \pm 0.037\)

ROI

\(\times \)

\(0.811 \pm 0.012\)

\(0.882 \pm 0.021\)

\(0.765 \pm 0.006\)

\(0.857 \pm 0.015\)

\(0.627 \pm 0.016\)

ROI

\(\checkmark \)

\(0.850 \pm 0.004\)

\(0.916 \pm 0.007\)

\(0.817 \pm 0.019\)

\(0.892 \pm 0.016\)

\(0.637 \pm 0.037\)