Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/29381
DC FieldValueLanguage
dc.contributor.authorJanjic, Predragen_US
dc.contributor.authorPetrovski, Kristijanen_US
dc.contributor.authorDolgoski, Blagojaen_US
dc.contributor.authorSmiley, Johnen_US
dc.contributor.authorZdravkovski, Pancheen_US
dc.contributor.authorPavlovski, Goranen_US
dc.contributor.authorJakjovski, Zlatkoen_US
dc.contributor.authorDavcheva, Natashaen_US
dc.contributor.authorPoposka, Vericaen_US
dc.contributor.authorStankov, Aleksandaren_US
dc.contributor.authorRosoklija, Gorazden_US
dc.contributor.authorPetrushevska, Gordanaen_US
dc.contributor.authorKocarev, Ljupcoen_US
dc.contributor.authorDwork, Andrew Jen_US
dc.date.accessioned2024-02-15T12:01:31Z-
dc.date.available2024-02-15T12:01:31Z-
dc.date.issued2019-10-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/29381-
dc.description.abstractStandard segmentation of high-contrast electron micrographs (EM) identifies myelin accurately but does not translate easily into measurements of individual axons and their myelin, even in cross-sections of parallel fibers. We describe automated segmentation and measurement of each myelinated axon and its sheath in EMs of arbitrarily oriented human white matter from autopsies.en_US
dc.language.isoenen_US
dc.publisherElsevier BVen_US
dc.relation.ispartofJournal of Neuroscience Methodsen_US
dc.titleMeasurement-oriented deep-learning workflow for improved segmentation of myelin and axons in high-resolution images of human cerebral white matteren_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.jneumeth.2019.108373-
dc.identifier.urlhttps://api.elsevier.com/content/article/PII:S0165027019302304?httpAccept=text/xml-
item.fulltextNo Fulltext-
item.grantfulltextnone-
crisitem.author.deptFaculty of Medicine-
crisitem.author.deptFaculty of Medicine-
crisitem.author.deptFaculty of Medicine-
crisitem.author.deptFaculty of Medicine-
crisitem.author.deptFaculty of Medicine-
crisitem.author.deptFaculty of Medicine-
crisitem.author.deptFaculty of Medicine-
Appears in Collections:Faculty of Medicine: Journal Articles
Show simple item record

Page view(s)

31
checked on May 25, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.