--- pipeline_tag: image-segmentation tags: - medical - biology - clinical --- # vesselFM **TL;DR**: VesselFM is a foundation model for universal 3D blood vessel segmentation in arbitrary imaging domains. For details, please refer to our preprint (https://arxiv.org/pdf/2411.17386) and our GitHub repo (https://github.com/bwittmann/vesselFM). --- ### Checkpoints We provide the following checkpoints: - `vesselFM_base.pt`: VesselFM pre-trained on our three proposed data sources (D_real, D_drand, and D_flow). This checkpoint will be automatically downloaded in `vesselfm/seg/inference.py`. ### Citing vesselFM If you find our work useful, please cite: ```bibtex @article{wittmann2024vesselfm, title={vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation}, author={Wittmann, Bastian and Wattenberg, Yannick and Amiranashvili, Tamaz and Shit, Suprosanna and Menze, Bjoern}, journal={arXiv preprint arXiv:2411.17386}, year={2024} } ```