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https://github.com/Guo-Stone/MambaMorph
MambaMorph: a Mamba-based Framework for Medical MR-CT Deformable Registration
https://github.com/Guo-Stone/MambaMorph
Last synced: 4 months ago
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MambaMorph: a Mamba-based Framework for Medical MR-CT Deformable Registration
- Host: GitHub
- URL: https://github.com/Guo-Stone/MambaMorph
- Owner: Guo-Stone
- License: mit
- Created: 2024-01-25T03:39:06.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-07-11T02:44:04.000Z (7 months ago)
- Last Synced: 2024-08-01T04:02:10.874Z (7 months ago)
- Language: Python
- Homepage:
- Size: 192 KB
- Stars: 60
- Watchers: 3
- Forks: 7
- Open Issues: 6
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# MambaMorph: a Mamba-based Framework for Medical MR-CT Deformable Registration
# Tutorial
Install Mamba via https://github.com/state-spaces/mamba### Framework
### Result
### **Train**
```
python ./scripts/torch/train_cross.py --gpu 1 --epochs 1 --batch-size 1 --model-dir output/train_debug --model mm-feat
```### **Test**
```
python ./scripts/torch/test_cross.py --gpu 0 --model mm-feat --load-model "/home/guotao/code/voxelmorph-dev/output/train_s46/min_train.pt"
```# Data
We implement MambaMorph on our brain MR-CT data SR-Reg which is developed from SynthRAD 2023 (https://synthrad2023.grand-challenge.org/). The SR-Reg dataset is undergoing careful processing and will be published with the next version of MambaMorph.### Data sample
# Contact
[email protected]# Paper
https://arxiv.org/abs/2401.13934# Citation
@article{guo2024mambamorph,
title={MambaMorph: a Mamba-based Framework for Medical MR-CT Deformable Registration},
author={Guo, Tao and Wang, Yinuo and Shu, Shihao and Chen, Diansheng and Tang, Zhouping and Meng, Cai and Bai, Xiangzhi},
journal={arXiv preprint arXiv:2401.13934},
year={2024}
}