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788 Bytes
| license: other | |
| license_name: vesselfm-open-rail-plus-plus-m | |
| license_link: LICENSE | |
| tags: | |
| - medical-imaging | |
| - segmentation | |
| - 3d | |
| # vesselfuse | |
| Weights for [`vesselfuse`](https://github.com/eigenvivek/vesselfuse): multimodal super-resolved vessel segmentation. | |
| - `vesselfuse.pt`: PyTorch state dict for `vesselfuse.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](https://huggingface.co/bwittmann/vesselFM) weights and are distributed under the vesselFM Open RAIL++-M License ([LICENSE](LICENSE)). | |
| Use is restricted to research and non-commercial purposes (Attachment A). | |