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Zebrafish tracking using convolutional neural networks
Keeping identity for a long term after occlusion is still an open problem in the video tracking of zebrafish-like model animals, and accurate animal trajectories are the foundation of behaviour analysis. We utilize the highly accurate object recognition capability of a convolutional neural network (...
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| Udgivet i: | Sci Rep |
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| Main Authors: | , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Nature Publishing Group
2017
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5314376/ https://ncbi.nlm.nih.gov/pubmed/28211462 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/srep42815 |
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