CORDIS Project
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The O-NEAT project aims to utilize deep learning to analyze large datasets from imaging methods that capture cell contours. This technology will help researchers automatically extract insights about tissue dynamics in both healthy and diseased states, facilitating advancements in biomedical research.
Imaging methods enabling the acquisition of millions of cell contours have opened the path for improved understanding of development, repair, homeostasis and pathology.
The full potential of such imaging methods can only be reached when robust, cost-effective and user-friendly methods are democratized to extract important information from the huge amounts of data generated.
Our project aims to implement a disruptive deep-learning based technology, O-NEAT, that uses these masses of data for train…
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
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