Fracture risk assessment becomes more accurate with age-based thresholds

Fracture risk in Sweden has been overestimated, according to research from the University of Gothenburg. As health care tools ...
GitHub

Flash LiDAR Vehicle Detection with MATLAB Dataset and Deep Learning Benchmarks

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, and RandLA-Net— on a Flash Lidar dataset. The ...
IEEE

Leveraging Spatial and Temporal Features using CNN-LSTM for Improved Bone Fracture Classification from X-ray Images

Abstract: X-ray imaging remains the primary diagnostic tool for identifying bone fractures. Accurate classification of bone fractures from X-ray images is a critical task in the field of orthopedic ...
IEEE

Hybrid Deep Feature–based Bone Fracture Classification using Pretrained CNNs and Machine Learning Models in MATLAB

Abstract: The proposed project introduces a bone fracture classification framework implemented in MATLAB which uses the combination of deep learning and machine learning to enhance the accuracy and ...