# Kits
**Disclaimer**: We are not the host of the data.
Please make sure to read the requirements and usage policies of the data and **give credit to the authors of the dataset**!

Please read the information from the homepage carefully and follow the rules and instructions provided by the original authors when using the data.
- Homepage: https://kits19.grand-challenge.org/data/

## Setup
0. Follow the installation instructions of nnDetection and create a data directory name `Task011_Kits`.
1. Follow the instructions and usage policies to download the data and place all the folders which contain the data and labels for each case into `Task011_Kits / raw`
2. Run `python prepare.py` in `projects / Task011_Kits / scripts` of the nnDetection repository.
3. Remove cases 15, 37, 23, 68, 125, 133 (taken from nnU-Net paper)
4. Download labels from [here](https://zenodo.org/record/4876472#.YLSv7TYzYeY) and replace `labelsTr` in the splitted folder with the downloaded ones.

The data is now converted to the correct format and the instructions from the nnDetection README can be used to train the networks.