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. 2023 Feb 4;10(2):207. doi: 10.3390/bioengineering10020207

Table 1.

Demographics of the subjects included in this study. Age is shown as mean ± standard deviation. For the CT dataset, one subject did not have age information and four subjects did not have gender information.

MRI
Split Gender # Volumes (# Slices) Age (Range)
Train Male 46 (7360) 44.7 ± 17.7 (17–75)
Female 40 (6400) 42.9 ± 18.5 (16–87)
Total 86 (13760) 43.9 ± 18.1 (16–87)
Validation Male 18 (2880) 37.3 ± 16.8 (18–68)
Female 15 (2400) 53.2 ± 14.9 (18–79)
Total 33 (5280) 44.5 ± 17.8 (18–79)
Test Male 26 (4156) 37.9 ± 14.9 (18–71)
Female 10 (1584) 53.0 ± 11.9 (31–73)
Total 36 (5740) 42.1 ± 15.6 (18–73)
Unlabeled Male 37 (5446) 38.1 ± 16.9 (15–77)
Female 49 (6686) 52.1 ± 18.5 (14–97)
Total 86 (12132) 46.1 ± 19.1 (14–97)
CT
Split Gender # Slices Age (Range)
Train Male 362 68.2 ± 11.4 (20–97)
Female 343 71.1 ± 10.5 (18–95)
Total 709 69.6 ± 11.1 (18–97)
Validation Male 63 69.1 ± 9.5 (32–83)
Female 69 71.0 ± 11.0 (32–89)
Total 133 70.1 ± 10.4 (32–89)
Test Male 18 70.6 ± 11.9 (47–92)
Female 26 73.1 ± 11.7 (44–93)
Total 44 72.1 ± 11.9 (44–93)
Unlabeled Male 3167 51.5 ± 17.1 (18–101)
Female 4632 51.6 ± 17.1 (18–100)
Total 7799 51.6 ± 17.1 (18–101)