KAAPANA
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About
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. Its applications include AI-based workflows and federated learning, with a focus on radiological and radiotherapeutic imaging. It addresses the challenges of obtaining large amounts of medical data for machine learning development in multi-center settings by enabling a federated approach where data remains localized and is processed on-site. The goal of Kaapana is to provide a framework and tools for sharing data processing algorithms, standardized workflow design and execution, and distributed method development, facilitating compliant, large-scale multi-center studies for researchers and clinicians. It integrates with existing clinical IT infrastructure using open technologies for private cloud development and containerized data processing, ensuring modularity and extensibility.
Platform
Features
• distributed method development
• seamless integration with clinical it infrastructure
• containerized data processing
• standardized workflow design and execution
• integration with nnu-net for state-of-the-art segmentation
• integration with medical imaging interaction toolkit (mitk)
• ai-based workflows and federated learning scenarios
• open-source toolkit for building medical imaging platforms
Pricing Plans
Free
Free Plan• Open-source toolkit
• AI-based workflows
• Federated learning scenarios
• Medical imaging platforms
• MITK Workbench integration
• nnU-Net integration
• Containerized data processing
• Distributed method development
• Standardized workflow design
Job Opportunities
There are currently no job postings for this AI tool.
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