conda create -n RMAMamba python==3.8.16
conda activate RMAMamba
pip install -r requirements.txt
cd selective_scan && pip install .
Download pretrained checkpoints from Google Drive and move it to the pretrained_pth
directory.
Download CirrMRI600+ dataset from this link and move it to the data
directory.
python train.py --model RMAMamba_S
python test.py --model RMAMamba_S
Our weight files and result maps are available on Google Drive.
Please cite our paper if you find the work useful:
@article{zeng2024rmamamba,
title={A Reverse Mamba Attention Network for Pathological Liver Segmentation},
author={Zeng, Jun and Jha, Debesh and Bagci, Ulas},
bookarticle={xxx},
year={2024},
}
Please contact [email protected] for any further questions.