ashita03/Bone-Fracture-Detection
Streamlit web-app based Bone Fracture detection using YoloV8, FasterRCNN with ResNet, and VGG16 with SSD
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.
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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.
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12
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Jupyter Notebook
License
MIT
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Last pushed
Nov 26, 2024
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