KAAPANA

An open-source toolkit for building medical imaging platforms!

Kaapana

Kaapana (from the hawaiian word kaʻāpana, meaning “distributor” or “part”) is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging. Obtaining large amounts of medical data necessary for developing and training modern machine learning methods is an extremely challenging effort that often fails in a multi-center setting, e.g. due to technical, organizational and legal hurdles. A federated approach where the data remains under the authority of the individual institutions and is only processed on-site is, in contrast, a promising approach ideally suited to overcome these difficulties.

Federated Concept

The goal of Kaapana is to provide a framework and a set of tools for sharing data processing algorithms, for standardized workflow design and execution as well as for performing distributed method development. This will facilitate data analysis in a compliant way enabling researchers and clinicians to perform large-scale multi-center studies.

Open Source Technologies

By adhering to established standards and by adopting widely used open technologies for private cloud development and containerized data processing, Kaapana integrates seamlessly with the existing clinical IT infrastructure, such as the Picture Archiving and Communication System (PACS), and ensures modularity and easy extensibility.

A selection of features available via Kaapana
  • nnU-Net

    nnU-Net is an open-source tool that can effectively be used out-of-the-box, rendering state of the art segmentation and catalyzing scientific progress as a framework for automated method design. It provides an end-to-end automated pipeline, which can be trained and inferred on any medical dataset for segmentation.


  • Medical Imaging Interaction Toolkit

    The Medical Imaging Interaction Toolkit (MITK) is a free open-source software for the development of interactive medical image processing software. Based on MITK, we provide the MITK Workbench, a powerful and free application to view, process, and segment medical images.


Build on established technologies

Projects

Platforms build with Kaapana facilitating federated medical image processing in various projects - here a selection:



Team

Kaapaana @ DKFZ

We are a team of reseachers, students and software developers working at the division of Medical Image Computing at the German Cancer Research Center. Reach out and get to know us!

Hanno Gao

Hanno Gao

Philipp Schader

Philipp Schader

Santhosh Parampottupadam

Santhosh Parampottupadam

Ünal Akünal

Ünal Akünal

Markus Bujotzek

Markus Bujotzek

Stefan Denner

Stefan Denner

Lorenz Feineis

Lorenz Feineis

Jens Beyermann

Jens Beyermann

Benjamin Hamm

Benjamin Hamm

Maximilian Fischer

Maximilian Fischer

Rajesh Baidya

Rajesh Baidya

Mikulas Bankovic

Mikulas Bankovic

Ralf Floca

Ralf Floca

Marco Nolden

Marco Nolden

Klaus Maier-Hein

Klaus Maier-Hein
Alumni

Jonas Scherer

Jonas Scherer

Klaus Kades

Klaus Kades

Jasmin Metzger

Jasmin Metzger

Kaushal Parekh

Kaushal Parekh

Jonas Reinwald

Jonas Reinwald

Lisa Kausch

Lisa Kausch

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