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. Author manuscript; available in PMC: 2020 Sep 1.
Published in final edited form as: Neuroimage. 2020 May 29;218:116947. doi: 10.1016/j.neuroimage.2020.116947

Table 1.

Evaluation of CAST automated segmentation in the MNI dataset.

Left/Right hippocampus
Metrics CA1–3 SUB CA4+DG
CAST DSC 0.917(0.011)/0.919(0.013) 0.890(0.017)/0.889(0.020) 0.881(0.021)/0.875(0.025)
Inter-rater DSCa 0.903 (0.036) 0.871 (0.053) 0.876 (0.048)
Intra-rater DSCa 0.929 (0.010) 0.905 (0.016) 0.900 (0.019)
CAST ICC 0.912/0.914 0.887/0.886 0.880/0.875
Inter-rater ICCa 0.91 0.73 0.90
Intra-rater ICCa 0.91 0.94 0.96
CAST Jaccard coefficient 0.848(0.019)/0.850(0.022) 0.802(0.029)/0.800(0.032) 0.787(0.032)/0.779(0.039)
CAST 0.906(0.011)/0.906(0.014)
 Generalized
 DSC
a

The DSC and ICC scores of a single rater (intra-rater) and two independent raters (inter-rater) were directly extracted from Kulaga-Yoskovitz et al. (2015) and marked with gray background. All the rest metrics are calculated from CAST segmentation.