---
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).