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

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