Table 3 Number of parameters and computational complexity of different networks
From: PyConvU-Net: a lightweight and multiscale network for biomedical image segmentation
| Â | U-Net | Unet++ | Resnet34_UNet | Attention U-Net | FCN8s | PyConvU-Net |
|---|---|---|---|---|---|---|
Number of parameters/MB | 7.77 | 9.16 | 21.66 | 34.88 | 18.64 | 3.7 |
FLOPs/GMac | 48.57 | 138.63 | 24.27 | 266.54 | 85.86 | 10.65 |