G-YOLOv11 and YOLOv9-Fracture-Detection

Both tools are competing deep learning models based on different YOLO architectures (G-YOLOv11 and YOLOv9, respectively) for the same task of fracture detection in pediatric wrist X-ray images, making them direct competitors for researchers or practitioners seeking to apply state-of-the-art object detection to this specific medical imaging problem.

G-YOLOv11
30
Emerging
Maintenance 6/25
Adoption 6/25
Maturity 9/25
Community 9/25
Maintenance 2/25
Adoption 7/25
Maturity 16/25
Community 12/25
Stars: 18
Forks: 2
Downloads:
Commits (30d): 0
Language: Python
License: GPL-3.0
Stars: 35
Forks: 5
Downloads:
Commits (30d): 0
Language: Python
License: MIT
No Package No Dependents
Stale 6m No Package No Dependents

About G-YOLOv11

AbdesselamFerdi/G-YOLOv11

Lightweight G-YOLOv11: Advancing Efficient Fracture Detection in Pediatric Wrist X-rays

About YOLOv9-Fracture-Detection

RuiyangJu/YOLOv9-Fracture-Detection

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

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