RuiyangJu/YOLOv9-Fracture-Detection

[Electronics Letters 2024] YOLOv9 for Fracture Detection in Pediatric Wrist Trauma X-ray Images

37
/ 100
Emerging

This project helps medical professionals, specifically radiologists and emergency room physicians, detect fractures in pediatric wrist X-ray images. It takes an X-ray image as input and identifies potential fracture locations, outputting a marked image that highlights these areas. This tool assists in quickly and accurately pinpointing fractures in young patients' wrists.

No commits in the last 6 months.

Use this if you are a medical professional looking for an automated tool to assist in the detection of pediatric wrist fractures from X-ray images, helping to streamline diagnosis and improve accuracy.

Not ideal if you need to detect fractures in other body parts, in adult patients, or from different imaging modalities beyond X-rays.

radiology pediatric-care emergency-medicine medical-imaging fracture-detection
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 12 / 25

How are scores calculated?

Stars

35

Forks

5

Language

Python

License

MIT

Last pushed

Aug 12, 2025

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/RuiyangJu/YOLOv9-Fracture-Detection"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.