Update README.md

README.md

@@ -8,3 +8,49 @@ This repository will contain the code for the paper
 ## Dataset
 
 The medical imaging dataset, CheXpert, used in this study is publicly available and can be downloaded from https://stanfordmlgroup.github.io/competitions/chexpert/.
+
+## Code
+
+For running the code, we recommend setting up a dedicated Python environment.
+
+### Setup Python environment using conda
+
+Create and activate a Python 3 conda environment:
+
+   ```shell
+   conda create -n pymira python=3
+   conda activate chexploration
+   ```
+
+Install PyTorch using conda:
+
+   ```shell
+   conda install pytorch torchvision cudatoolkit=10.1 -c pytorch
+   ```
+
+### Setup Python environment using virtualenv
+
+Create and activate a Python 3 virtual environment:
+
+   ```shell
+   virtualenv -p python3 <path_to_envs>/chexploration
+   source <path_to_envs>/chexploration/bin/activate
+   ```
+
+Install PyTorch using pip:
+
+   ```shell
+   pip install torch torchvision
+   ```
+
+### Install additional Python packages:
+
+   ```shell
+   pip install matplotlib jupyter pandas seaborn pytorch-lightning scikit-learn scikit-image tensorboard tqdm openpyxl
+   ```
+
+## Funding sources
+This work is supported through funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant Agreement No. 757173, [Project MIRA](https://www.project-mira.eu), ERC-2017-STG) and by the [UKRI London Medical Imaging & Artificial Intelligence Centre for Value Based Healthcare](https://www.aicentre.co.uk/).
+
+## License
+This project is licensed under the [Apache License 2.0](LICENSE).