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Deep learning approaches enable automated phenotype extraction

Modern deep learning algorithms, such as those used in recent work on nematode motility, allow automated, accurate detection and quantification of behaviors from images with minimal manual intervention.

Confidence
70%
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Reasoning: Image analysis tools and deep learning enable high-throughput worm phenotyping