A website application that dentists can use to diagnose specific abnormalities in less time and with better accuracy using panoramic dental radiography.
Paper Link: Dental Disease Detection based on CNN for Panoramic Dental Radiographs
This project is built in Typescript using the MERN stack for the website, Python using Flask for the detection, and YOLO V5 for model training and testing.
Download Dentect Back-end, Front-end, and Detection Model.
git clone https://github.com/Dentect/dental-diseases-detection-backend.git
git clone https://github.com/Dentect/dental-diseases-detection-frontend.git
git clone https://github.com/Dentect/dental-diseases-detection-model.git
Our end-user is the dentist who can
- SignUp and SignIn
- Add new patient
- Upload the patient's X-ray and display detection
- View patient's data
- View patient's old X-rays
- Add comments on Detection
- Give a feedback
Dentect-Demo.mp4
- Tassneem Hamdy -> [email protected]
- Heba Amr -> [email protected]
- Manar El-Bagoury -> [email protected]
- Omar Ahmed -> [email protected]
- Marwan Akram -> [email protected]
- Mariam Attia
- Data is available upon request, so contact us through this email and your request will be considered.
The project is available under the MIT License.