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Table 1 The quantitative performance for the four different data augmentation strategies

From: Automatic segmentation of coronary lumen and external elastic membrane in intravascular ultrasound images using 8-layer U-Net

Augmentation strategies

MIoU (lumen)

MIoU (EEM-CSA)

No augmentation

0.872

0.703

Flip–Rotate

0.915

0.759

MeshGrid

0.894

0.747

MeshGrid–Flip–Rotate

0.937

0.804

Ji Yang et al.[10]

0.900

0.860

  1. The italic number results represent best MIoU performance in Lumen and EEM-CSA, our MeshGrid–Flip–Rotate can achieve 0.937 MIoU of lumen, which is better than other methods. But MIoU results of EEM-CSA is 0.804, which is inferior to 0.860 of Ji Yang et al.