A Deep Learning-Based Workflow for Dendritic Spine Segmentation

A Deep Learning-Based Workflow for Dendritic Spine Segmentation

The morphological analysis of dendritic spines is an important challenge for the neuroscientific community. Most state-of-the-art techniques rely on user-supervised algorithms to segment the spine surface, especially those designed for light microscopy images. Therefore, processing large dendritic b...

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Bibliographic Details
Main Authors: Isabel Vidaurre-Gallart, Isabel Fernaud-Espinosa, Nicusor Cosmin-Toader, Lidia Talavera-Martínez, Miguel Martin-Abadal, Ruth Benavides-Piccione, Yolanda Gonzalez-Cid, Luis Pastor, Javier DeFelipe, Marcos García-Lorenzo
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-03-01
Series:Frontiers in Neuroanatomy
Subjects:
automatic 3D image segmentation
artificial neural network
confocal microscopy
reconstruction algorithms
pyramidal cells
Online Access:https://www.frontiersin.org/articles/10.3389/fnana.2022.817903/full

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https://www.frontiersin.org/articles/10.3389/fnana.2022.817903/full

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