This project aims to segment lungs tumor from CT scans of Decathlon Lungs dataset using Pytorch and MONAI .
This project is still under development.
├── 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
- Set up environment.
python -m venv venv # create environment
source venv/bin/activate # activate environment
- Train model
python train.py