RuiyangJu/Fracture_Detection_Improved_YOLOv8
[ICONIP 2024] [IEEE Access 2025] YOLOv8-AM: YOLOv8 with Attention Mechanisms for Pediatric Wrist Fracture Detection
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.
Stars
131
Forks
30
Language
Python
License
MIT
Category
Last pushed
Oct 17, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/RuiyangJu/Fracture_Detection_Improved_YOLOv8"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Related tools
mdciri/YOLOv7-Bone-Fracture-Detection
YOLOv7 to detect bone fractures on X-ray images
alok-devforge/MediScan
MediScan: AI-powered bone fracture detection system achieving 99.8% accuracy through deep...
AbdesselamFerdi/G-YOLOv11
Lightweight G-YOLOv11: Advancing Efficient Fracture Detection in Pediatric Wrist X-rays
RuiyangJu/YOLOv9-Fracture-Detection
[Electronics Letters 2024] YOLOv9 for Fracture Detection in Pediatric Wrist Trauma X-ray Images
ammarlodhi255/yolov10-fracture-detection
This repository contains code the official code for the paper "Pediatric Wrist Fracture...