Accurate Neuronal Soma Segmentation Using 3D Multi-Task Learning U-Shaped Fully Convolutional Neural Networks

Accurate Neuronal Soma Segmentation Using 3D Multi-Task Learning U-Shaped Fully Convolutional Neural Networks

Neuronal soma segmentation is a crucial step for the quantitative analysis of neuronal morphology. Automated neuronal soma segmentation methods have opened up the opportunity to improve the time-consuming manual labeling required during the neuronal soma morphology reconstruction for large-scale ima...

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Bibliographic Details
Main Authors: Tianyu Hu, Xiaofeng Xu, Shangbin Chen, Qian Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-01-01
Series:Frontiers in Neuroanatomy
Subjects:
touching neuronal soma segmentation
fully convolutional neural network
multi-task learning
micro-optical images
neuronal soma localization
Online Access:https://www.frontiersin.org/articles/10.3389/fnana.2020.592806/full

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https://www.frontiersin.org/articles/10.3389/fnana.2020.592806/full

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