TABLE 2.

Validation of the Deep Learning-Based Algorithm for Accuracy in Quantitation of Subcutaneous (SAT) and Visceral Fat (VAT) on CT Images

	Average d ice value	SAT volume R2	SAT volume p-v alue	VAT volume R2	VAT volume p-v alue	Percent RSE SAT volume	Percent RSE VAT Volume
All 555 validation images	0.944 ± 0.002	0.994	2.49E-217	0.989	8.85E-193	5.494	8.510

The Dice score (mean ± SE), correlation coefficients, and percent Residual Standard Error (RSE) are used for comparing the similarity of the values of subcutaneous (SAT) and visceral fat (VAT) volumes measured by the manual and deep learning methods on the same CT images.