3D Dental surface segmentation with Tooth Group Network
teeth segmentation using pytorch and monai
🦷 A modern, lightweight, and fully customizable React Odontogram Module. Designed to simplify dental charting with an intuitive interface, powered by TypeScript and Tailwind CSS for seamless integration into any dental software.
In this study, DentiAssist, a web-based radiological image analysis and labeling application supported by artificial intelligence, was developed for the education of dentistry students.
Deep Learning based 3D Teeth Scan Segmentation
Teeth canal detection using deep learning
This project was my assignment from "Introduction to Computer Vision" course in my university
This project is a cross-platform Flutter app for real-time teeth segmentation using a YOLOv11 model, with a Flask backend handling ML inference and displaying outlined teeth from images.
🦷 Build interactive, fast odontogram editors with layered SVGs for detailed dental charting and clinical status customization.
An intelligent deep learning application for automatic teeth segmentation in panoramic dental X-rays. Uses UNet++ with ResNet50 encoder for high-accuracy detection. Built with Streamlit for easy clinical use, providing real-time visual feedback and overlay analysis.
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