Weakly Supervised Learning of 3D Deep Network for Neuron Reconstruction

Weakly Supervised Learning of 3D Deep Network for Neuron Reconstruction

Digital reconstruction or tracing of 3D tree-like neuronal structures from optical microscopy images is essential for understanding the functionality of neurons and reveal the connectivity of neuronal networks. Despite the existence of numerous tracing methods, reconstructing a neuron from highly no...

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Bibliographic Details
Main Authors: Qing Huang, Yijun Chen, Shijie Liu, Cheng Xu, Tingting Cao, Yongchao Xu, Xiaojun Wang, Gong Rao, Anan Li, Shaoqun Zeng, Tingwei Quan
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-07-01
Series:Frontiers in Neuroanatomy
Subjects:
neuron reconstruction
weakly supervised deep learning
precise
generalization
automatic
Online Access:https://www.frontiersin.org/article/10.3389/fnana.2020.00038/full

Internet

https://www.frontiersin.org/article/10.3389/fnana.2020.00038/full

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