Vibe-OCMIST is a one-click medical image segmentation tool for the BraTS Challenge dataset, designed to provide an intuitive and efficient GUI experience.
This tool implements the interactive deep editing framework for medical image segmentation, inspired by the MICCAI 2019 research paper.
Ensure the following dependencies are installed before proceeding:
PyQt5>=5.6
nibabel
keras
tensorflow
tables
numpy
keras_contrib
To install Vibe-OCMIST, clone the repository and follow the setup instructions for dependencies.
Launch the GUI and start segmenting medical images with ease. The application supports interaction and custom adjustments for precision in deep editing.
Contributions are welcome! Please follow the guidelines outlined in the CONTRIBUTING.md file (if available). Fork the repository, make your changes, and submit a pull request.
This repository is available under the appropriate open-source license. See the LICENSE file for details.
Special thanks to the creators of 3DUnetCNN for their inspiring work, which has been integrated into this project.