Separate registration required: https://www.mie2023.org/tutorials

The open-source Python framework AUCMEDI offers a solution to the described challenges. The software package not only offers a library as a 'high-level' API for the standardized construction of modern medical image classification pipelines, but also reproducible installation and direct application via Dockerization and automatic hyperparameter detection. With AUCMEDI, researchers are able to set up a complete as well as easy-to-integrate medical image classification pipeline with just a few lines of code. AUCMEDI is available as a Python package via PyPI ('pip install aucmedi') and as a repository via GitHub with detailed documentation, examples, and bindings to modern DevOps (CI/CD) techniques: https://frankkramer-lab.github.io/aucmedi/