Bone Fracture Detection using deep learning (Resnet50) - Final project in the fourth year of the degree
MediScan: AI-powered bone fracture detection system achieving 99.8% accuracy through deep learning. Features real-time X-ray analysis, transparent Grad-CAM visualizations, and clinical integration tools. Built with Python/FastAPI backend and responsive HTML/CSS frontend, making advanced medical diagnostics more accessible to healthcare providers.
This repository contains code the official code for the paper "Pediatric Wrist Fracture Detection in X-rays via YOLOv10 Algorithm and Dual Label Assignment System"
Bone fracture detection in Xray images 🙋
This project in a X-ray bone fracture detection App protoype to assist medical professionals to fast-forward the diagnosis process, it runs on the user's device.
Bone fracture detection from X-ray image using CNN (EfficientNetB3 architecture)
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