Identify teeth in X-ray images using instance segmentation and labelling.
With machine learning, we aim to identify teeth via segmentation and labelling.
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Table of Contents
- To try our program or test your own x-ray image, open 'Test.ipynb' and follow instruction.- Clone the repo
git clone https://github.com/RobertSmithers/TeethSegmentation.git
- (Optional) Create a virtual environment
- Install all required prerequisites
Teeth Labelling is not a brand new field of study, though the amount of available data is highly limited. Teeth data is rarely open source, a product of scarcity in related machine learning research as well as protection of patients' privacy.
With this teeth segmentation utility, artifical intelligence can autonomously label teeth scans and identify malformed, missing, or otherwise important concerns relating to the count and placement of teeth. The ability to label teeth in fractions of a second serves as a vital aide to dentistry personnel.
I hope this repository will help advance research within the academic community!
- Ground Truth Masking
- Data Augmentation
- Model Optimization
- Autonomous model saving
See the open issues for a full list of proposed features (and known issues).
- README.md: Robert, Yuting
- data/: Yuting, Daniella
- results/: Robert
- connected_component_images/: Daniella
- models/: Robert
- '3Ddata_attempt.ipynb': Robert
- 'pytorch3d_render.ipynb': Yuting
- 'Loader.py': Yuting, Robert
- 'contour_generation.ipynb': Daniella
- 'Loader.ipynb': Yuting
- 'Res-Unet.py': Yuting
- 'data_preparation.ipnyb': Daniella
- 'model.py': Robert
- 'pre_process.py': Daniella
- 'train.ipynb': Robert
- 'connected_component.py': Yuting
- 'connected_component_segmentation.ipynb': Yuting, Daniella
- 'Test.ipynb': Yuting
- 'X-Ray TeethSegmentation.pptx'(the powerpoint): Yuting, Daniella, Robert
- Final Report: Daniella, Yuting, Robert
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature) - Commit your Changes (
git commit -m 'Add some AmazingFeature') - Push to the Branch (
git push origin feature/AmazingFeature) - Open a Pull Request
Distributed under the MIT License. See LICENSE.txt for more information.
Robert Smithers - Website - rjsmithers3@gmail.com
Yuting Ji - jiyz@bc.edu
Daniella Zunic - zunicd@bc.edu
Project Link: https://github.com/RobertSmithers/TeethSegmentation
