Classifying the tracing difficulty of 3D neuron image blocks based on deep learning

Classifying the tracing difficulty of 3D neuron image blocks based on deep learning

Abstract Quickly and accurately tracing neuronal morphologies in large-scale volumetric microscopy data is a very challenging task. Most automatic algorithms for tracing multi-neuron in a whole brain are designed under the Ultra-Tracer framework, which begins the tracing of a neuron from its soma an...

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Bibliographic Details
Main Authors: Bin Yang, Jiajin Huang, Gaowei Wu, Jian Yang
Format: article
Language:EN
Published: SpringerOpen 2021
Subjects:
Deep learning
Tracing difficulty classification
Residual neural network
Fully connected neural network
Long short-term memory network
Computer applications to medicine. Medical informatics
R858-859.7
Computer software
QA76.75-76.765
Online Access:https://doaj.org/article/a0338b83def94a45bd3b5e560e5ee50c
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https://doaj.org/article/a0338b83def94a45bd3b5e560e5ee50c

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