Automated and accurate segmentation of leaf venation networks via deep learning
Leaf vein network geometry can predict levels of resource transport, defence, and mechanical support that operate at different spatial scales. However, it is challenging to quantify network architecture across scales, due to the difficulties both in segmenting networks from images, and in extracting...
| Main Authors: | , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Wiley
2020
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