Boosting Multilabel Semantic Segmentation for Somata and Vessels in Mouse Brain

Boosting Multilabel Semantic Segmentation for Somata and Vessels in Mouse Brain

Deep convolutional neural networks (DCNNs) are widely utilized for the semantic segmentation of dense nerve tissues from light and electron microscopy (EM) image data; the goal of this technique is to achieve efficient and accurate three-dimensional reconstruction of the vasculature and neural netwo...

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Bibliographic Details
Main Authors: Xinglong Wu, Yuhang Tao, Guangzhi He, Dun Liu, Meiling Fan, Shuo Yang, Hui Gong, Rong Xiao, Shangbin Chen, Jin Huang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-04-01
Series:Frontiers in Neuroscience
Subjects:
artificial intelligence
deep learning
multilabel segmentation
boosting method
3D reconstruction
convolutional neural network
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2021.610122/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2021.610122/full

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