Zebrafish tracking using convolutional neural networks.
Ontology highlight
ABSTRACT:
SUBMITTER: Xu Z
PROVIDER: S-EPMC5314376 | biostudies-literature | 2017 Feb
REPOSITORIES: biostudies-literature
Publications
Zebrafish tracking using convolutional neural networks.
Scientific reports 20170217
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, even though these animals are indistinguishable to the human eye. We used data augmentation and an iterative CNN training method to optimize the accuracy ...[more]
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