README.md

metadata

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
• 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 dataset (Biffi et al., Scientific Data 2024, CC BY 4.0) and CVC-ClinicDB (CC BY 4.0).

Citation

@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}
}