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dc.contributor.authorTuxworth, Gervaseen_US
dc.contributor.authorMeedeniya, Adrianen_US
dc.contributor.authorBlumenstein, Michaelen_US
dc.contributor.editorBlanc-Talon, J.; Bone, D.; Philips, W.; Popescu, D.; Scheunders, P.en_US
dc.date.accessioned2017-05-03T14:36:43Z
dc.date.available2017-05-03T14:36:43Z
dc.date.issued2010en_US
dc.date.modified2012-03-15T06:08:36Z
dc.identifier.issn0302-9743en_US
dc.identifier.doi10.1007/978-3-642-17688-3_15en_US
dc.identifier.urihttp://hdl.handle.net/10072/37962
dc.description.abstractSegmentation of neural cells in three dimensional fluorescence microscopy images is a challenging image processing problem. In addition to being important to neurobiologists, accurate segmentation is a vital component of an automated image processing system. Due to the complexity of the data, particularly the extreme irregularity in neural cell shape, generic segmentation techniques do not perform well. This paper presents a novel segmentation technique for segmenting neural cells in three dimensional images. Accuracy rates of over 90% are reported on a data set of 100 images containing over 130 neural cells and subsequently validated using a novel data set of 64 neurons.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_US
dc.format.extent624686 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_US
dc.publisherSpringeren_US
dc.publisher.placeBerlinen_US
dc.relation.ispartofstudentpublicationNen_US
dc.relation.ispartofpagefrom145en_US
dc.relation.ispartofpageto152en_US
dc.relation.ispartofjournalLecture Notes in Computer Scienceen_US
dc.relation.ispartofvolume6474en_US
dc.rights.retentionYen_US
dc.subject.fieldofresearchImage Processingen_US
dc.subject.fieldofresearchcode080106en_US
dc.titleSegmentation of Inter-neurons in Three Dimensional Brain Imageryen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.facultyGriffith Sciences, School of Information and Communication Technologyen_US
gro.rights.copyrightCopyright 2010 Springer Berlin / Heidelberg. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. The original publication is available at www.springerlink.comen_US
gro.date.issued2010
gro.hasfulltextFull Text


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