Fracture_Detection_Improved_YOLOv8 and YOLOv7-Bone-Fracture-Detection
About Fracture_Detection_Improved_YOLOv8
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.
About YOLOv7-Bone-Fracture-Detection
mdciri/YOLOv7-Bone-Fracture-Detection
YOLOv7 to detect bone fractures on X-ray images
This project helps medical professionals, specifically radiologists and emergency room physicians, quickly identify bone fractures in pediatric wrist X-ray images. You input an X-ray image, and the system outputs the image with detected fractures highlighted by bounding boxes, along with confidence scores. This is intended for medical practitioners who need to efficiently screen or analyze radiographs for common injuries.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work