Bone Fracture Detection ML Frameworks

ML projects and applications for detecting bone fractures in X-ray images using computer vision models (YOLO, DETR, ResNet, etc.). Does NOT include general medical imaging, other fracture types beyond bone, or non-fracture anomaly detection in X-rays.

There are 8 bone fracture detection frameworks tracked. The highest-rated is Alkoby/Bone-Fracture-Detection at 40/100 with 154 stars.

Get all 8 projects as JSON

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# Framework Score Tier
1 Alkoby/Bone-Fracture-Detection

Bone Fracture Detection using deep learning (Resnet50) - Final project in...

40
Emerging
2 YzzLiu/FracSegNet

A deep-learning method for segmenting fractures from 3D CT images.

38
Emerging
3 ashita03/Bone-Fracture-Detection

Streamlit web-app based Bone Fracture detection using YoloV8, FasterRCNN...

36
Emerging
4 alok-devforge/BoneFractureDetection

Its a bone fracture detection project implemented using CNN, ResNet, and...

20
Experimental
5 HoseinRanjbar/R2I-Medical-Imaging

Bone-fracture classification with a focus on robustness and interpretability.

18
Experimental
6 AzyriAI/yolov9-docker-rest-service-xray-fracture

Docker Production Ready YoloV9: REST Service for x-ray fracture detection

18
Experimental
7 ayzrixsiev/MedVision-XRay-Anomaly-Detection

A system to detect anomalies such as fractures in X-ray images using image...

17
Experimental
8 Akhil1409906/Hand-Bone-Fracture-Detection-in-X-Ray-Images-Using-Hybrid-YOLO-V8-for-Enhanced-Diagnosis

This project uses YOLO V8 for detecting hand bone fractures in X-ray images....

10
Experimental