Fracture_Detection_Improved_YOLOv8 and G-YOLOv11
These are competitors—both are specialized YOLO variants optimized for the same task of pediatric wrist fracture detection, with YOLOv8-AM using attention mechanisms while G-YOLOv11 emphasizes lightweight efficiency, requiring users to choose between the published approaches.
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 G-YOLOv11
AbdesselamFerdi/G-YOLOv11
Lightweight G-YOLOv11: Advancing Efficient Fracture Detection in Pediatric Wrist X-rays
This system helps radiologists and medical practitioners quickly identify fractures in pediatric wrist X-rays. You input an X-ray image, and the system outputs detected fracture locations. This tool is designed for medical professionals in clinical settings who need efficient diagnostic assistance.
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