Implementation of "A Foundation Model for General Moving Object Segmentation in Medical Images" (accepted by IEEE ISBI 2024 (Oral))
Try iMOS on Pair!
Source | Modality | Link |
---|---|---|
AMOS2022 | CT / MRI | link |
CAMUS | Ultrasound | link |
CholecSeg8k | Endoscopy | link |
EPFL | Electron Microscopy | link |
python -m torch.distributed.launch --master_port 25763 --nproc_per_node=2 train.py --exp_id retrain_stage3_only --stage 3 --load_network XMem.pth
Pretrained XMem weight can be found here.
Our code is based on XMem. We appreciate the authors for their great works.
@misc{yan2023foundation,
title={A Foundation Model for General Moving Object Segmentation in Medical Images},
author={Zhongnuo Yan and Tong Han and Yuhao Huang and Lian Liu and Han Zhou and Jiongquan Chen and Wenlong Shi and Yan Cao and Xin Yang and Dong Ni},
year={2023},
eprint={2309.17264},
archivePrefix={arXiv},
primaryClass={cs.CV}
}