KAAPANA
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About
Kaapana is an open-source toolkit for state-of-the-art platform provisioning in medical data analysis. It enables AI-based workflows and federated learning scenarios, with a focus on radiological and radiotherapeutic imaging. It helps overcome challenges in obtaining and processing large amounts of medical data in multi-center settings by enabling a federated approach where data remains localized. The goal is to provide a framework for sharing data processing algorithms, standardized workflow design and execution, and distributed method development, facilitating compliant large-scale multi-center studies. It integrates with existing clinical IT infrastructure using open technologies like Kubernetes, OpenSearch, Airflow, Keycloak, and Docker. Features include integration with MITK for medical image processing and nnU-Net for automated medical image segmentation.
Platform
Features
• distributed method development
• standardized workflow design and execution
• integration with medical imaging interaction toolkit (mitk)
• integration with nnu-net for automated segmentation
• radiological and radiotherapeutic imaging focus
• federated learning scenarios
• ai-based workflows
• open-source toolkit
Pricing Plans
Open Source
Free Plan• Access to entire toolkit
• AI-based workflows
• Federated learning
• Medical image analysis
• Workflow design and execution
• Distributed method development
Job Opportunities
There are currently no job postings for this AI tool.
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