Zebrafish tracking using convolutional neural networks
Zebrafish tracking using convolutional neural networks
About this item
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Author / Creator
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
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Publication information
Publisher
London: Nature Publishing Group UK
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Scope and Contents
Contents
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 (CNN) to distinguish fish of the same congener, eve...
Alternative Titles
Full title
Zebrafish tracking using convolutional neural networks
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5314376
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5314376
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/srep42815
