About Dataset

Bone Fracture Detection

A comprehensive dataset of X-ray images created to support bone fracture detection, specifically designed for computer vision research and development. The primary goal is to aid in the development and evaluation of automated bone fracture detection algorithms.

Key Features

• Images categorized into specific fracture classes:
  • Elbow Positive
  • Fingers Positive
  • Forearm Fracture
  • Humerus Fracture
  • Shoulder Fracture
  • Wrist Positive
• Annotations include:
  • Bounding boxes
  • Pixel-level segmentation masks

These annotations highlight the location and extent of fractures, enabling precise training and evaluation of object detection and segmentation models.

Use Cases

• Training machine learning models for automated fracture detection
• Object detection and classification of bone fractures in medical images
• Developing robust algorithms for identifying fractures across various upper extremity regions

This dataset supports the advancement of computer vision in medical diagnostics and aims to enhance patient care through faster and more accurate fracture detection.

Citation

If you use this dataset in your research, please cite it using the following DOI:

DOI: 10.13140/RG.2.2.14400.34569

ResearchGate:
https://www.researchgate.net/publication/382268240_Bone_Fracture_Detection_Computer_Vision_Project