Skip to main content
. 2022 May 11;13:663200. doi: 10.3389/fneur.2022.663200

Table 2.

IE-Vnet segmentation results on four test datasets D2-D5 (20 inner ears each) compared to manual ground-truth.

Dataset D2 D3 D4 D5
Mean SD Mean SD Mean SD Mean SD
(A) Accuracy
Dice 0.906 0.012 0.895 0.021 0.904 0.014 0.894 0.026
HDmax 0.949 0.862 0.804 0.476 1.170 0.774 0.811 0.565
SDmean 0.020 0.003 0.023 0.005 0.021 0.003 0.023 0.006
(B) Performance
Cochlea 4.950 0.224 4.900 0.308 4.900 0.308 0.950 0.224
Sacculus 5.000 0.000 5.000 0.000 4.950 0.224 5.000 0.000
Utriculus 5.000 0.000 5.000 0.000 5.000 0.000 5.000 0.000
aSCC 4.800 0.616 4.800 0.616 4.900 0.308 4.750 0.716
pSCC 4.900 0.447 4.900 0.447 4.850 0.671 4.900 0.308
hSCC 4.950 0.224 4.850 0.671 4.850 0.671 4.800 0.696

Segmentation accuracy (A) was measured by the quantitative metrics of Dice overlap coefficient (“Dice”), Hausdorff maximum surface distance (“HDmax,” in [mm]), and average surface distance (“SDmean,” in [mm]). Localized performance (B) issues within the inner ear were assessed using a semi-quantitative five-point Likert-type response scale for the cochlea, sacculus, utriculus, the anterior semi-circular canal (aSCC), posterior SCC (pSCC), and horizontal SCC (hSCC) respectively. A detailed description of the used categories can be found in Section 2.6.