DeepActiveNet-MedSeg is an advanced deep learning framework designed for accurate medical image segmentation using active contours.
- Employs active contour methods for improved segmentation accuracy.
- Suitable for various medical imaging tasks.
- Scalable and easy-to-use training, validation, and prediction scripts.
Clone the repository:
git clone https://github.com/transmutat/DeepActiveNet-MedSeg.git
Install dependencies:
pip install -r requirements.txt
Train the model:
python main.py
Validate the model:
python main.py --action=test
Make predictions:
python main.py --action=predict
Contributions are welcome! Please fork the repository and submit a pull request for consideration.
This project is licensed under the MIT License. See the LICENSE file for details.