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Lungs-Tumour-segmentation

This project aims to segment lungs tumor from CT scans of Decathlon Lungs dataset using Pytorch and MONAI .

Open In Studio

This project is still under development.

Directory structure

├── LICENSE                    # License file
├── README.md                  # Readme file
├── app
│   ├── gunicorn.py            # Configuration for Gunicorn server
│   ├── main.py                # Main application file
│   └── schemas.py             # Schema definitions
├── artifacts
│   └── checkpoints            # Directory for storing model checkpoints
├── conf
│   └── config.yaml            # Configuration file in YAML format
├── data/                      # data dir
├── logs/                      # Log dir  
├── notebook.ipynb             # Jupyter notebook file
├── requirements.txt           # File listing required Python packages
├── src/
│   ├── data_module.py         # Module for data processing
│   ├── model.py               # Module containing the model definition
│   └── utils.py               # Utility functions module
├── download_data.sh           # Shell script for downloading data
└── train.py                   # Script for training the model

Workflows

  1. Set up environment.
python -m venv venv         # create environment
source venv/bin/activate    # activate environment
  1. Train model
python train.py

References

Authors

License

MIT

lung-tumours-segmentation's People

Contributors

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Forkers

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