Cephalometric Landmark Detection

Research project for my Master's thesis at Konya Technical University, developing a convolutional neural network model for automatic localization of cephalometric landmarks in dental X-rays. ## Research Highlights - **Problem**: Manual landmark identification is time-consuming and prone to inter-observer variability - **Solution**: Deep learning model achieving expert-level accuracy in landmark detection - **Dataset**: Trained on 1,000+ annotated panoramic radiographs - **Results**: Published in peer-reviewed journal ## Technical Implementation - Custom CNN architecture optimized for medical imaging - Data augmentation pipeline for limited medical datasets - Transfer learning from pre-trained models - GPU-accelerated training on NVIDIA hardware - Model evaluation against expert annotations ## Publication "Automatic Localization of Cephalometric Landmarks using Convolutional Neural Networks" - Published in academic journal