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Download README.md from eigenvivek/vesselfuse: direct link, hf CLI and curl.
- Browser
- Download file 788 Bytes
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https://huggingface.co/eigenvivek/vesselfuse/resolve/main/README.md
- Command line
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hf download hf://eigenvivek/vesselfuse/README.md
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curl -L -o README.md https://huggingface.co/eigenvivek/vesselfuse/resolve/main/README.md
788 Bytes
metadata
license: other
license_name: vesselfm-open-rail-plus-plus-m
license_link: LICENSE
tags:
- medical-imaging
- segmentation
- 3d
vesselfuse
Weights for vesselfuse: multimodal super-resolved vessel segmentation.
vesselfuse.pt: PyTorch state dict forvesselfuse.VesselFuse(MONAI DynUNet, 18 input channels: 9 images and 9 presence masks for CTA, CT, TOF, T1, T1+c, T2, FLAIR, SWI, SWI phase).
The vesselfuse CLI downloads these weights on first use.
License
The weights are fine-tuned from the vesselFM weights and are distributed under the vesselFM Open RAIL++-M License (LICENSE). Use is restricted to research and non-commercial purposes (Attachment A).