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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Detalles Bibliográficos
Autores principales: Bin Yang, Jiajin Huang, Gaowei Wu, Jian Yang
Formato: article
Lenguaje:EN
Publicado: SpringerOpen 2021
Materias:
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
Acceso en línea:https://doaj.org/article/a0338b83def94a45bd3b5e560e5ee50c
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https://doaj.org/article/a0338b83def94a45bd3b5e560e5ee50c

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