ashita03/Bone-Fracture-Detection

Streamlit web-app based Bone Fracture detection using YoloV8, FasterRCNN with ResNet, and VGG16 with SSD

36
/ 100
Emerging

This web application helps radiologists and medical imaging technicians quickly identify potential bone fractures in X-ray images. You upload an X-ray image, and the system outputs the predicted fracture type and location with a bounding box and confidence score. This tool is designed for medical professionals who need to efficiently screen or double-check X-ray scans for common fractures.

No commits in the last 6 months.

Use this if you are a radiologist or medical imaging technician seeking an automated assistant to highlight possible bone fractures on X-ray images, providing a second opinion or speeding up initial assessments.

Not ideal if you need a certified medical diagnostic tool that replaces professional judgment, as this is an experimental computer vision application.

Radiology Medical Imaging Fracture Detection X-ray Analysis Orthopedic Screening
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 15 / 25

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12

Forks

4

Language

Jupyter Notebook

License

MIT

Last pushed

Nov 26, 2024

Commits (30d)

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