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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 (...

詳細記述

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書誌詳細
出版年:Sci Rep
主要な著者: XU, Zhiping, Cheng, Xi En
フォーマット: Artigo
言語:Inglês
出版事項: Nature Publishing Group 2017
主題:
オンライン・アクセス: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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