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Stefan Knegt
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## Train on LIDC Dataset
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One of the datasets used in the original paper is the [LIDC dataset](https://wiki.cancerimagingarchive.net). I've preprocessed this data and stored them in 5 .pickle files which you can [download here](https://drive.google.com/drive/folders/1xKfKCQo8qa6SAr3u7qWNtQjIphIrvmd5?usp=sharing). After downloading the files you should place them in a folder called 'data'. After that, you can train your own Probabilistic UNet on the LIDC dataset using the simple train script provided in train_model.py.
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One of the datasets used in the original paper is the [LIDC dataset](https://wiki.cancerimagingarchive.net). I've preprocessed this data and stored them in a pickle file, which you can [download here](https://drive.google.com/drive/folders/1xKfKCQo8qa6SAr3u7qWNtQjIphIrvmd5?usp=sharing). After downloading the files you should place them in a folder called 'data'. After that, you can train your own Probabilistic UNet on the LIDC dataset using the simple train script provided in train_model.py.
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