| language: | |
| - en | |
| license: apache-2.0 | |
| pipeline_tag: image-segmentation | |
| # SegWithU | |
| [Preprint](https://huggingface.co/papers/2604.15271) | |
| SegWithU is a post-hoc framework for uncertainty estimation in medical image segmentation. It augments a frozen pretrained segmentation backbone with a lightweight uncertainty head, modeling uncertainty as perturbation energy with rank-1 posterior probes. It produces voxel-wise uncertainty maps for calibration and error detection in a single forward pass. | |
| This page is only used to distribute the checkpoints. For code and docs please visit our [GitHub repository](https://github.com/ProjectNeura/SegWithU) or the [project page](https://segwithu.projectneura.org). |