DeepACSON automated segmentation of white matter in 3D electron microscopy

With DeepACSON, Abdollahzadeh et al. combines existing deep learning-based methods for semantic segmentation and a novel shape decomposition technique for the instance segmentation. The pipeline is used to segment low-resolution 3D-EM datasets allowing quantification of white matter morphology in la...

Full description

Bibliographic Details
Main Authors:	Ali Abdollahzadeh, Ilya Belevich, Eija Jokitalo, Alejandra Sierra, Jussi Tohka
Format:	Article
Language:	English
Published:	Nature Publishing Group 2021-02-01
Series:	Communications Biology
Online Access:	https://doi.org/10.1038/s42003-021-01699-w

id	doaj-ceef10eba1c14eabaaaea963abe3d645
record_format	Article
spelling	doaj-ceef10eba1c14eabaaaea963abe3d6452021-02-14T12:27:29ZengNature Publishing GroupCommunications Biology2399-36422021-02-014111410.1038/s42003-021-01699-wDeepACSON automated segmentation of white matter in 3D electron microscopyAli Abdollahzadeh0Ilya Belevich1Eija Jokitalo2Alejandra Sierra3Jussi Tohka4A. I. Virtanen Institute for Molecular Sciences, University of Eastern FinlandElectron Microscopy Unit, Institute of Biotechnology, University of HelsinkiElectron Microscopy Unit, Institute of Biotechnology, University of HelsinkiA. I. Virtanen Institute for Molecular Sciences, University of Eastern FinlandA. I. Virtanen Institute for Molecular Sciences, University of Eastern FinlandWith DeepACSON, Abdollahzadeh et al. combines existing deep learning-based methods for semantic segmentation and a novel shape decomposition technique for the instance segmentation. The pipeline is used to segment low-resolution 3D-EM datasets allowing quantification of white matter morphology in large fields-of-view.https://doi.org/10.1038/s42003-021-01699-w
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Ali Abdollahzadeh Ilya Belevich Eija Jokitalo Alejandra Sierra Jussi Tohka
spellingShingle	Ali Abdollahzadeh Ilya Belevich Eija Jokitalo Alejandra Sierra Jussi Tohka DeepACSON automated segmentation of white matter in 3D electron microscopy Communications Biology
author_facet	Ali Abdollahzadeh Ilya Belevich Eija Jokitalo Alejandra Sierra Jussi Tohka
author_sort	Ali Abdollahzadeh
title	DeepACSON automated segmentation of white matter in 3D electron microscopy
title_short	DeepACSON automated segmentation of white matter in 3D electron microscopy
title_full	DeepACSON automated segmentation of white matter in 3D electron microscopy
title_fullStr	DeepACSON automated segmentation of white matter in 3D electron microscopy
title_full_unstemmed	DeepACSON automated segmentation of white matter in 3D electron microscopy
title_sort	deepacson automated segmentation of white matter in 3d electron microscopy
publisher	Nature Publishing Group
series	Communications Biology
issn	2399-3642
publishDate	2021-02-01
description	With DeepACSON, Abdollahzadeh et al. combines existing deep learning-based methods for semantic segmentation and a novel shape decomposition technique for the instance segmentation. The pipeline is used to segment low-resolution 3D-EM datasets allowing quantification of white matter morphology in large fields-of-view.
url	https://doi.org/10.1038/s42003-021-01699-w
work_keys_str_mv	AT aliabdollahzadeh deepacsonautomatedsegmentationofwhitematterin3delectronmicroscopy AT ilyabelevich deepacsonautomatedsegmentationofwhitematterin3delectronmicroscopy AT eijajokitalo deepacsonautomatedsegmentationofwhitematterin3delectronmicroscopy AT alejandrasierra deepacsonautomatedsegmentationofwhitematterin3delectronmicroscopy AT jussitohka deepacsonautomatedsegmentationofwhitematterin3delectronmicroscopy
_version_	1724270453307998208

DeepACSON automated segmentation of white matter in 3D electron microscopy

Similar Items