diCOMBINE is a web application that allows users to visualize 3D DICOM files and label regions of interest (ROI) in the images. The application also provides the ability to annotate the labeled ROIs.
- User-friendly interface
- Create multiple users
- 3D visualization of DICOM files
- Ability to label ROIs in images
- Annotation of labeled ROIs
To get started with diCOMBINE, you need to have Python 3.8 and the Flask framework installed on your machine. Then, clone the repository and install the required dependencies using pip:
$ git clone https://github.com/hn617/diCOMBINE
$ cd diCOMBINE
$ pip install -r requirements.txt
After installation, run the application using the following command:
$ python main.py
The application will be running on http://localhost:5000.
- Python 3.8
- Flask framework
- JavaScript for front-end development
We welcome contributions to diCOMBINE. If you are interested in contributing, please fork the repository and create a pull request with your changes.
For support or questions, please email the developer Hossein Naseri at hossein.naseri@mail.mcgill.com.