README.md

---
title: TRUE-Colon Polyp Detection
emoji: 🩺
colorFrom: purple
colorTo: yellow
sdk: gradio
sdk_version: 6.24.0
app_file: app.py
short_description: RT-DETR polyp detector on REAL-Colon colonoscopy frames
python_version: "3.12"
startup_duration_timeout: 30m
---

# TRUE-Colon: Real-Time Polyp Detection

Interactive demo of the **RT-DETR** detector from the paper *TRUE-Colon: Exposing a
Consistent Transfer Asymmetry in Real-Time Polyp Detection* (MICCAI 2026 EndoLINA
Workshop). The model was trained on **REAL-Colon** — 60 complete, unedited colonoscopy
procedures — and detects polyps (lesions) in individual colonoscopy frames.

## Usage

Upload a colonoscopy frame, adjust the confidence and IoU thresholds, and click
**Detect Polyps**. The model draws green bounding boxes around detected lesions with
confidence scores.

> ⚠️ **Research demo only — NOT for clinical use.** The model has not been validated
> prospectively or cleared by any regulator.

## Model

- **Checkpoint**: [`sdoerrich97/true_colon_rtdetr_realcolon_s0`](https://huggingface.co/sdoerrich97/true_colon_rtdetr_realcolon_s0)
- **Architecture**: RT-DETR (via Ultralytics)
- **Input**: 640 × 640
- **Classes**: 1 (`lesion`)
- **License**: AGPL-3.0 (inherited from Ultralytics training)

## Example images

Examples are from the [REAL-Colon](https://doi.org/10.1038/s41597-024-03359-0) dataset
(Biffi et al., *Scientific Data* 2024, CC BY 4.0) and [CVC-ClinicDB](https://polyp.grand-challenge.org/CVCClinicDB/) (CC BY 4.0).

## Citation

```bibtex
@article{doerrich2026truecolon,
  title={TRUE-Colon: Exposing a Consistent Transfer Asymmetry in Real-Time Polyp Detection},
  author={Sebastian Doerrich and Andreas Franz Schwab and Francesco {Di Salvo} and Shyam Nandan Rai and Hanh Huyen My Nguyen and Christian Ledig},
  year={2026}, eprint={2608.13711}, archivePrefix={arXiv}, primaryClass={eess.IV}
}
```