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. Author manuscript; available in PMC: 2022 Dec 30.
Published in final edited form as: Neuroimage. 2022 Feb 3;251:118933. doi: 10.1016/j.neuroimage.2022.118933

Table 16.

Compiled results of Fig. 13: Influence of training set size. Comparison of FastSurferVINN trained on the original training set (n = 120) and a version with approximately 20 times more 1.0 mm scans (n = 1315). Dice Similarity Coefficient (DSC) and average surface distance (ASD) are reported for four different resolutions (0.7 mm, 0.8 mm, 0.9 mm and 1.0 mm).

Datasets FastSurferVINN + inSA (n = 120) FastSurferVINN + inSA (n = 1300) FastSurferVINN + inSA (n = 120) FastSurferVINN + inSA (n = 1300)
DSC 0.7 mm 89.4 (± 1.29) 89.871.28) ASD 0.259 (± 0.08) 0.2430.080)
0.8 mm 89.84 (± 1.46) 90.571.44) 0.241 (± 0.079) 0.2180.080)
0.9 mm 85.45 (± 1.13) 88.751.39) 0.347 (± 0.050) 0.2630.052)
1.0 mm 87.67 (± 2.51) 90.261.54) 0.296 (± 0.105) 0.2310.074)