YOLOv7-Bone-Fracture-Detection and yolov10-fracture-detection
These two projects are competitors, as both implement different YOLO architectures (YOLOv7 and YOLOv10, respectively) for the same task of detecting bone fractures in X-ray images, implying a choice between the two for a user.
About YOLOv7-Bone-Fracture-Detection
mdciri/YOLOv7-Bone-Fracture-Detection
YOLOv7 to detect bone fractures on X-ray images
This project helps medical professionals, specifically radiologists and emergency room physicians, quickly identify bone fractures in pediatric wrist X-ray images. You input an X-ray image, and the system outputs the image with detected fractures highlighted by bounding boxes, along with confidence scores. This is intended for medical practitioners who need to efficiently screen or analyze radiographs for common injuries.
About yolov10-fracture-detection
ammarlodhi255/yolov10-fracture-detection
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"
This project helps radiologists and medical professionals detect pediatric wrist fractures from X-ray images. It takes X-ray scans as input and highlights potential fracture locations, serving as an advanced aid for radiologists in their diagnostic workflow. This tool is designed for medical image analysts and diagnostic radiologists specializing in pediatric cases.
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