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Fig. 1 | BioMedical Engineering OnLine

Fig. 1

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

Fig. 1

\({6} \times {5}\) image matrix of segmentation result comparison for four different data augmentation strategies. The rows show the original image and different image augmentation strategies, including raw IVUS images as inputs (1st row), ground truth images as outputs (2nd row), No augmentation (4th row), Meshgrid (5th row), Flip–Rotate (6th row) and Meshgrid–Flip–Rotate (3rd row). The columns represent different IVUS image cases, choosing images of different shapes and sizes as much as possible (1st columns to 5th columns). The figure shows that Meshgrid–Flip–Rotate (3rd row) method have best segmentation performance, which are very close to the ground truth images

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