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...
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: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fnins.2021.610122/full |
Similar Items
-
Multilabel Remote Sensing Image Retrieval Based on Fully Convolutional Network
by: Zhenfeng Shao, et al.
Published: (2020-01-01) -
Evolutionary Multilabel Classification Algorithm Based on Cultural Algorithm
by: Qinghua Wu, et al.
Published: (2021-02-01) -
Multilabel Feature Selection Using Mutual Information and ML-ReliefF for Multilabel Classification
by: Enhui Shi, et al.
Published: (2020-01-01) -
A Comprehensive and Didactic Review on Multilabel Learning Software Tools
by: Francisco Charte
Published: (2020-01-01) -
MULTILABEL OVER-SAMPLING AND UNDER-SAMPLING WITH CLASS ALIGNMENT FOR IMBALANCED MULTILABEL TEXT CLASSIFICATION
by: Adil Yaseen Taha, et al.
Published: (2021-06-01)