RuiyangJu/Fracture_Detection_Improved_YOLOv8

[ICONIP 2024] [IEEE Access 2025] YOLOv8-AM: YOLOv8 with Attention Mechanisms for Pediatric Wrist Fracture Detection

52
/ 100
Established

This project helps medical professionals, specifically radiologists and orthopedic specialists, automatically detect pediatric wrist fractures in X-ray images. By inputting raw X-ray images, the system identifies and highlights potential fracture locations, helping to reduce diagnostic errors and speed up the interpretation process. It's designed for clinical settings where rapid and accurate fracture detection is critical for young patients.

131 stars.

Use this if you need an automated system to quickly and accurately identify potential wrist fractures in pediatric X-ray images, providing an initial assessment to support diagnostic decisions.

Not ideal if you require a system for detecting fractures in other parts of the body or for adult patients, as this model is specifically trained for pediatric wrist X-rays.

pediatric radiology fracture detection medical imaging analysis diagnostic support orthopedic imaging
No Package No Dependents
Maintenance 6 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 20 / 25

How are scores calculated?

Stars

131

Forks

30

Language

Python

License

MIT

Last pushed

Oct 17, 2025

Commits (30d)

0

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