Table 2 Test-retest precision between repeat 3DO scan pairs of each participant in the SUA test set on the same scan device

From: 3D convolutional deep learning for nonlinear estimation of body composition from whole body morphology

 

3DAE-GPR 301

3DAE-GPR 4284

PCA-GPR 4284

PCA-OLS 4284

Tian et al.14

DXA (Criterion)

Visceral fat % CV

Males (n = 143)

4.4%

5.0%

5.2%

7.2%

8.8%

4.8%

Females (n = 199)

5.5%

5.5%

6.2%

8.6%

12.3%

6.3%

Percent fat precision RMSE

Males (n = 143)

1.0%

0.9%

1.1%

1.6%

1.9%

0.5%

Females (n = 199)

1.2%

1.2%

1.4%

2.0%

2.9%

0.5%

  1. 3DAE models were benchmarked with GPR trained from their bottleneck layers to standardize the comparison between model sizes. 3DAE was more precise than PCA, and GPR was more precise than OLS.
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