README.md

---
title: AI In Dentistry
emoji: 📉
colorFrom: gray
colorTo: indigo
sdk: gradio
sdk_version: 4.44.0
app_file: app.py
pinned: false
license: mit
---

AI in Dentistry Advancing Imaging and Clinical Transcription

This repository contains the code for AI Dentistry application. The application is based on three models:
1. **Calculus and Caries Detection**: This model is based on the VGG architecture and is trained on the [Dental Condition Dataset](https://www.kaggle.com/datasets/salmansajid05/oral-diseases/data).
2. **Caries Detection**: This model performs caries detection using Yolov8 model. This model is sourced from the [Yolov8 Caries Detector](https://github.com/AndreyGermanov/yolov8_caries_detector).
3. **Dental Image Segmentation**: This model performs semantic segmentation in one-shot panoramic x-ray image by using deep learning method with U-Net Model. The model is sourced from [Segmentation-of-Teeth-in-Panoramic-X-ray-Image-Using-U-Net](https://github.com/SerdarHelli/Segmentation-of-Teeth-in-Panoramic-X-ray-Image-Using-U-Net).