Cepheo is an innovative DL driven online orthodontic and orthognathic platform for dental clinicians.
We developed a node.js and flask APIs connected to MongoDb database, through which we deployed the best model. It automatically performs landmark positioning. It can be used as an online diagnostic software that reduces the time and effort of orthodontists involved in the orthodontic case and diagnosis.
- The dentical clinician can add new patient via upload page.
- View the all patients data in one page in the repository part.
- Through the repository section also the dentical clinician can also update, delete the medical record for each patient.
- After the analysis is done, the patient record can be saved as a PDF report or image.
- We also provide in our platform help page that contains frequently asked questions and short instruction video in our youtube channel to provide information of everthing till getting analysis done.
Client: HTML, CSS, JS
Server: Node, MongoDB, Flask
Model: UNet, Inception, Resnet
Detection of cephalometric landmarks with Deep learning models. Dataset:
- 400 X-ray images each image contains 19 landmarks.
- Excel sheets containg X and Y positions for each landmark in each image.
-
Binary Mask Trial Unet.ipynb
The mask used for segmentation is a binary 1 channel array, where 1's represent landmarks location and 0's represent the background. -
Unet_and_get_ROIs_for_Stage2.ipynb
The mask used for segmentation is a 20 channels mask, where each channel represent a landmark and the last channel represent the background. Each channel was filled using the following equation.
-
resnet_inception_final.ipynb
-
resnet_rois.ipynb
Install node.js 👉 Download
To use the Model 👉 Download
Install
- FlaskAPI: Flask, TensorFlow, OpenCv, Numpy
- NodeAPI:
npm install
command
Start the node server
node app.js
Add model in models
folder then start flask server
run main.py
Start the client
run index.html
HTML, CSS, Javascript, Node, Flask, MongoDB and deep learning
- Sample of saved analyzed image
That is a short instruction video on our youtube channel to learn everything until the analysis is done!
For support, email [email protected] or join our community on facebook.
If you have any feedback, please reach out to us at [email protected]