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The software package AUCMEDI 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 CLI or Docker.

With AUCMEDI, researchers are able to set up a complete and easy-to-integrate pipeline for medical image classification with just a few lines of code.

AUCMEDI Modules

Module Description
Framework / API for Python The framework or API for building medical image classification pipelines in Python. Can be installed via PyPI (pip ) and used in scripts or Jupyter Notebooks.
AutoML via CLI The AutoML module via CLI for fast application. Can be used in a command language fashion (like Unix Shell in Linux) for straightforward integration in IT environments.
AutoML via Docker The AutoML module via Docker for robust application. Allow secure and stable integration in critical IT environments (like clinical environments).

With the two modules, AUCMEDI combines straightforward and fast setup via AutoML with the option of detailed customization via the framework/API as toolbox.

Figure: AUCMEDI Modules Flowchart diagram of the AUCMEDI modules showing the Framework/API and the AutoML module.