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.
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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