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3DTeethSeg

by Hong Gi Ahn, Wan Kim, Jae Hwan Han*, Min Sun Park, Tae-Hoon Yong and Byungsun Choi
This repository contains the Pytorch implementation of 3D Teeth Scan Segmentation and Labeling Challenge(2022).

Environment

This repository is developed on Python 3.8, Windows 10 and NVIDIA GTX 3090. Other platforms or GPU cards are not fully tested.

Installation

Please follow the commands below for more details.

Clone this repository.

git clone https://github.com/Osstem-AI/3DTeethSeg

Create conda enviornment and install required python packages.
```
conda create -n 3DTeethSeg python=3.8
```
Install packages from requirements.txt.
```
pip install -r requirements.txt
```
Usage

All interfaces of 3d teeth scan segmentation to use as a template in 3D Teeth Scan Segmentation and Labeling Challenge(2022). To find the template, please visit the GitHub page

Data Preparation

We used the release of first and second datasets in here to train or test

Inference

After you are ready to prepare input data, you can run the main script in this command.

python process.py

Contact

If you have any questions about the code or need for reproduction, please contact via email (thyong@osstem.com).

Osstem-AI / 3DTeethSeg

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