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BIAFLOWS: A collaborative framework to benchmark bioimage analysis workflows
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Abstract [en]

Automated image analysis has become key to extract quantitative information from biological microscopy images, however the methods involved are now often so complex that they can no longer be unambiguously described using written protocols. We introduce BIAFLOWS, a web based framework to encapsulate, deploy, and benchmark automated bioimage analysis workflows (the software implementation of an image analysis method). BIAFLOWS helps fairly comparing image analysis workflows and reproducibly disseminating them, hence safeguarding research based on their results and promoting the highest quality standards in bioimage analysis.

National Category
Medical Image Processing
Research subject
Computerized Image Processing
Identifiers
URN: urn:nbn:se:uu:diva-398234DOI: 10.1101/707489OAI: oai:DiVA.org:uu-398234DiVA, id: diva2:1375063
Funder
EU, Horizon 2020, CA15120Available from: 2019-12-03 Created: 2019-12-03 Last updated: 2019-12-03

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Publisher's full textbiorxiv: 10.1101/707489v2

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Sladoje, Natasa

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Division of Visual Information and InteractionComputerized Image Analysis and Human-Computer Interaction
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