README.md

---
title: 'AeroPath: automatic airway segmentation using deep learning'
colorFrom: indigo
colorTo: indigo
sdk: docker
app_port: 7860
emoji: 🫁
pinned: false
license: mit
app_file: demo/app.py
---

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<h1 align="center">🫁 LyNoS 🤗</h1>
<h3 align="center">A lymph node segmentation benchmark from contrast CT</h3>

[![license](https://img.shields.io/github/license/DAVFoundation/captain-n3m0.svg?style=flat-square)](https://github.com/raidionics/LyNoS/blob/main/LICENSE.md)
[![CI/CD](https://github.com/raidionics/LyNoS/actions/workflows/deploy.yml/badge.svg)](https://github.com/raidionics/LyNoS/actions/workflows/deploy.yml)
<a target="_blank" href="https://huggingface.co/spaces/andreped/LyNoS"><img src="https://img.shields.io/badge/🤗%20Hugging%20Face-Spaces-yellow.svg"></a>
[![paper](https://img.shields.io/badge/arXiv-preprint-D12424)](https://arxiv.org/abs/2311.01138)

**LyNoS** was developed by SINTEF Medical Image Analysis to accelerate medical AI research.

</div>