Table 1.
BG | MC | Global acc | Class acc | mIoU | |
---|---|---|---|---|---|
2D SegNet*,^ | 0.96265 | 0.84278 | 0.96254 | 0.90271 | 0.49116 |
2D U-Net | 0.76764 | 0.50470 | 0.76741 | 0.63617 | 0.38462 |
2D U-Net* | 0.91744 | 0.26388 | 0.91686 | 0.59066 | 0.45984 |
2D U-Net*,^ | 0.83897 | 0.42008 | 0.83859 | 0.62953 | 0.42043 |
2D U-Net (adjacent 2 images)*,^ | 0.82013 | 0.54608 | 0.81988 | 0.68310 | 0.41125 |
3D U-Net | 0.99972 | 0.92738 | 0.99922 | 0.95915 | 0.57721 |
*The same number of filters (same as the original SegNet and UNet).
^Pre-trained weights with natural images.