Table 3.
The training details of networks in our proposed CT-SMA.
| Networks | Dimension | Learning rate | Optimizer | Epochs | Dataset |
|---|---|---|---|---|---|
| SPSNet | 2.5D | 0.0002 | Adam | 100 | crMR, CT |
| UNet | 2.5D | 0.0001 | Adam | 50 | CT |
| DLRM | 3D | 0.0003 | Adam | 50 | MR, CT |
UNet is used for segmentation of bone components in refined registration submodule.