📌Cardiac MRI 3D Ejection Fraction Estimation

This project focuses on estimating the Ejection Fraction (EF) from Cardiac MRI images using 3D U-Net and MONAI.

Project Structure

• 3D/: Contains 3D models or related data.
• Plots/: Includes visualization files for data analysis.
• dataset/: Directory for dataset files used in training and evaluation.
• tb_logs/: Stores TensorBoard logs for monitoring training performance.
• preview.ipynb: Jupyter Notebook for previewing data or model outputs.
• requirements.txt: Lists all Python dependencies required to run the project.
• run.py: Main script to execute the training or evaluation pipeline.
• testing.ipynb: Jupyter Notebook for testing and validating the model.

🚀Installation

To set up the project environment, follow these steps:

1. Clone the repository:

   git clone https://github.com/Fosii/cmr-lvef-estimation.git
   

2. Navigate to the project directory:

   cd cmr-lvef-estimation
   

3. Install the required dependencies:

   pip install -r requirements.txt
   

🛠Usage

• Running the main script: Execute the run.py script to start the training or evaluation process:

  python run.py

• Visualizing results: Use the Jupyter Notebooks preview.ipynb and testing.ipynb to visualize data samples and evaluate model performance.

🤝Contributing

Contributions are welcome! Please fork the repository and submit a pull request with your improvements.

📄License

This project is licensed under the MIT License.

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