Show simple item record

dc.contributor.authorRoberts, Mike
dc.contributor.authorJeong, Won-Ki
dc.contributor.authorVázquez-Reina, Amelio
dc.contributor.authorUnger, Markus
dc.contributor.authorBischof, Horst
dc.contributor.authorLichtman, Jeff
dc.contributor.authorPfister, Hanspeter
dc.date.accessioned2014-06-30T19:08:49Z
dc.date.issued2011
dc.identifier.citationRoberts, Mike, Won-Ki Jeong, Amelio Vázquez-Reina, Markus Unger, Horst Bischof, Jeff Lichtman, and Hanspeter Pfister. 2011. “Neural Process Reconstruction from Sparse User Scribbles.” Lecture Notes in Computer Science: 621–628.en_US
dc.identifier.issn0302-9743en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:12374878
dc.description.abstractWe present a novel semi-automatic method for segmenting neural processes in large, highly anisotropic EM (electron microscopy) image stacks. Our method takes advantage of sparse scribble annotations provided by the user to guide a 3D variational segmentation model, thereby allowing our method to globally optimally enforce 3D geometric constraints on the segmentation. Moreover, we leverage a novel algorithm for propagating segmentation constraints through the image stack via optimal volumetric pathways, thereby allowing our method to compute highly accurate 3D segmentations from very sparse user input. We evaluate our method by reconstructing 16 neural processes in a 1024×1024×50 nanometer-scale EM image stack of a mouse hippocampus. We demonstrate that, on average, our method is 68% more accurate than previous state-of-the-art semi-automatic methods.en_US
dc.description.sponsorshipEngineering and Applied Sciencesen_US
dc.language.isoen_USen_US
dc.publisherSpringer Verlagen_US
dc.relation.isversionofdoi:10.1007/978-3-642-23623-5_78en_US
dash.licenseOAP
dc.titleNeural Process Reconstruction from Sparse User Scribblesen_US
dc.typeJournal Articleen_US
dc.description.versionAccepted Manuscripten_US
dc.relation.journalLecture Notes in Computer Scienceen_US
dash.depositing.authorPfister, Hanspeter
dc.date.available2014-06-30T19:08:49Z
dc.identifier.doi10.1007/978-3-642-23623-5_78*
workflow.legacycommentsFAR 2012en_US
dash.contributor.affiliatedPfister, Hanspeter
dash.contributor.affiliatedLichtman, Jeff


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record