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Generative Models

This section provides an overview of the generative models in medigan.

Find in the tables below for each model:

  1. A model_id
  2. A link to detailed documentation on Zenodo

Further model information can be found in the global.json metadata.

Warning

Some of the model internal checkpoint loading functions may implicitly use the pickle module (e.g. torch.load()), Pickle is insecure: It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (example video). While we do our best to analyse and test each model before Zenodo upload and medigan integration, we cannot provide a security guarantee. Be aware and run only models you trust. To further mitigate risks, we plan to integrate a malware scanning tool into medigan's CI pipeline.