---
title: CheXmask-U demo
emoji: ⚡
colorFrom: yellow
colorTo: blue
sdk: gradio
sdk_version: 3.50.2
app_file: app.py
pinned: false
license: gpl-3.0
---

## 📄 Paper

This Space accompanies the paper:

**CheXmask-U: Quantifying uncertainty in landmark-based anatomical segmentation for X-ray images**  
Matias Cosarinsky, Nicolas Gaggion, Rodrigo Echeveste, Enzo Ferrante
Published Dec 2025  
https://arxiv.org/abs/2512.10715