https://github.com/theveryhim/polyp-detection

Detecting colonoscopy images' polyps using AI algorithms
https://github.com/theveryhim/polyp-detection

deep-learning image-processing object-detection yolo9

Last synced: 11 months ago
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Detecting colonoscopy images' polyps using AI algorithms

• Host: GitHub
• URL: https://github.com/theveryhim/polyp-detection
• Owner: theveryhim
• License: mit
• Created: 2025-07-06T18:53:45.000Z (12 months ago)
• Default Branch: main
• Last Pushed: 2025-07-06T19:59:16.000Z (12 months ago)
• Last Synced: 2025-07-06T20:43:55.761Z (12 months ago)
• Topics: deep-learning, image-processing, object-detection, yolo9
• Language: Jupyter Notebook
• Homepage:
• Size: 1000 Bytes
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Polyp detection 

In this repo, we are going to employ Machine learning methods to detect

colon tissues(polyp).

## YOLOv9-FineTune: [PolypDB](https://arxiv.org/abs/2409.00045)

- Train

```markdown

YOLOv9m summary (fused): 151 layers, 20,013,715 parameters, 0 gradients, 76.5 GFLOPs

                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95)

                 all        359        382      0.933      0.912      0.963      0.816

```

- detect polyps(bounding box)