Bone-Fracture-Detection and BoneFractureDetection

Bone-Fracture-Detection
40
Emerging
BoneFractureDetection
20
Experimental
Maintenance 0/25
Adoption 10/25
Maturity 8/25
Community 22/25
Maintenance 0/25
Adoption 4/25
Maturity 16/25
Community 0/25
Stars: 154
Forks: 62
Downloads: —
Commits (30d): 0
Language: Python
License: —
Stars: 8
Forks: —
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
No License Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About Bone-Fracture-Detection

Alkoby/Bone-Fracture-Detection

Bone Fracture Detection using deep learning (Resnet50) - Final project in the fourth year of the degree

This project helps medical professionals quickly identify bone fractures from X-ray images. You input an X-ray image of an elbow, hand, or shoulder, and it tells you whether a fracture is present. This tool is designed for radiologists, emergency room doctors, or other medical practitioners who need assistance in interpreting musculoskeletal radiographs.

radiology medical-imaging fracture-detection diagnostic-support emergency-medicine

About BoneFractureDetection

alok-devforge/BoneFractureDetection

Its a bone fracture detection project implemented using CNN, ResNet, and YOLO models. The dataset is sourced from Kaggle.

This project helps medical professionals automatically detect bone fractures in X-ray images, reducing reliance on manual diagnosis. You input digital X-ray images, and the system outputs classifications indicating whether a fracture is present, potentially highlighting the fracture location. It's designed for radiologists, orthopedic specialists, or medical imaging technicians.

radiology medical-imaging fracture-detection orthopedics diagnostic-support

Scores updated daily from GitHub, PyPI, and npm data. How scores work