An effective AI integrated system for neuron tracing on anisotropic electron microscopy volume-Reference-Cited by-同舟云学术

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An effective AI integrated system for neuron tracing on anisotropic electron microscopy volume

Published:2021-08 Issue: Volume:69 Page:102829
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Liu Jing,Hong Bei,Chen Xi,Xie Qiwei,Tang Yuanyan,Han Hua

Funder

National Natural Science Foundation of China

Chinese Academy of Sciences Bureau of International Co-operation

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference46 articles.

1. Convolutional nets for reconstructing neural circuits from brain images acquired by serial section electron microscopy;Lee;Current Opinion Neurobiol.,2019

2. High-precision automated reconstruction of neurons with flood-filling networks;Januszewski;Nature Methods,2018

3. Large scale image segmentation with structured loss based deep learning for connectome reconstruction;Funke;IEEE Trans. Anal. Mach. Intell.,2018

4. Multicut brings automated neurite segmentation closer to human performance;Beier;Nature Methods,2017

5. Saturated reconstruction of a volume of neocortex;Kasthuri;Cell,2015

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Advancing electron microscopy using deep learning;Journal of Physics: Materials;2024-02-08

2. Joint reconstruction of neuron and ultrastructure via connectivity consensus in electron microscope volumes;BMC Bioinformatics;2022-10-31

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