Diagnostics
Multi-Version Evaluation of Deep Learning Architectures for Tibial Plateau Fracture Detection and Deployment in a Web-Based Clinical Support System
Von Han-Ting Shih, Yuan-Hsin Sung, Endah Kristiani und 2 weiteren.
Inhalt auf Englisch
Abstract
Background
Tibial plateau fractures are complex knee injuries where timely and accurate diagnosis is critical to preventing long-term disability. In high-pressure emergency settings, the risk of missed fractures (false negatives) remains a significant challenge.
Objective
This study aims to develop a robust, clinically safe automated detection model using advanced deep learning architectures.