Combining semi-automated image analysis techniques with machine learning algorithms to accelerate large scale genetic studies
Background: Genetic analyses of plant root system development require large datasets of extracted architectural traits. To quantify such traits from images of root systems, researchers often have to choose between automated tools (that are prone to error and extract only a limited number of architec...
| Main Authors: | , , , , , |
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| Format: | Other |
| Published: |
bioRxiv
2017
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| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/44900/ |