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_config.yml

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title: CRS4 Digital Pathology Platform - Documentation
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title: CRS4 Digital Pathology Platform
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description: Documentation for the CRS4 Digital Pathology Platform (CDPP)
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theme: just-the-docs
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search_enabled: true
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aux_links:
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"CDPP on GitHub":
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- "https://github.com/crs4/cdpp"
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"CRS4 on GitHub":
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- "https://github.com/crs4"
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nav_sort: case_insensitive

index.md

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# Welcome to CDPP
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# Welcome to CRS4 Digital Pathology Platform
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This site provides documentation for the CRS4 Digital Pathology Platform (CDPP), an open-source system for managing whole slide image collections, structured annotation, and computational pathology workflows.
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Explore the sections on platform features, source code, and how to install and use the software.
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# Platform overview
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The CRS4 Digital Pathology Platform (CDPP) is an open-source software system designed to support digital pathology research through:
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- Structured, multi-label morphological and clinical image annotation
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- Support for controlled, customizable annotation protocols
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- Annotation tools that enhance accuracy, efficiency, and consistency
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- Workflow-based computational analysis with provenance tracking
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CDPP is based on a modular architecture comprising:
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- A slide repository (based on <a href="https://www.openmicroscopy.org/omero/" target="_blank">Open Microscopy's OMERO</a>)
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- A virtual microscope for WSI viewing <a href="https://github.com/crs4/ome_seadragon/tree/master" target="_blank">:octocat: View on Github</a>
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- An annotation manager supporting both manual and AI-assisted annotation <a href="https://github.com/crs4/DigitalPathologyPlatform/tree/master" target="_blank">:octocat: View on Github</a>
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- A workflow manager for automated image analysis (via Apache Airflow + CWL)
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Its web-based interface supports distributed, protocol-driven collaboration and simplifies setup through Docker-based deployment.

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