Table 3 Model performance comparison. Shows the performance differences on GUSI-A between the baseline U-Net and modified models. Models combining affine transformations and ASTM exhibit significant improvements in IoU and Dice scores.

From: SATU-net: a shadow adaptive tracing U-net for gastric cavity segmentation based on the principle of ultrasound imaging

Model

Accuracy

Precision

Recall

IoU

Dice

Specificity

Baseline U-Net

96.64±0.20

86.11±2.40

85.96±2.72

75.40±1.26

85.97±0.82

98.09±0.44

Without affine Transform

96.58±0.63

86.71±4.10

84.74±4.14

74.91±3.92

85.60±2.58

98.20±0.63

Without ASTM

96.79±0.31

86.70±5.24

87.42±5.38

76.59±1.23

86.74±0.78

98.07±1.02

Ours

97.39 ± 0.12

89.26 ± 0.72

89.63 ± 0.42

80.87 ± 0.76

89.39 ± 0.47

98.48 ± 0.11