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A unified framework for automated 3D whole cell segmentation of living cells and a comprehensive segmentation

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A unified framework for automated 3D whole cell segmentation of living cells and a comprehensive segmentation

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dc.contributor.author Erlend, Hodneland
dc.contributor.author Nickolay V., Bukoreshtliev
dc.contributor.author Tilo W., Eichler
dc.contributor.author Tai, Xue Cheng
dc.contributor.author Steffen, Gurke
dc.contributor.author Arvid, Lundervold
dc.contributor.author Hans-Hermann, Gerdes
dc.date.accessioned 2009-08-12T03:09:32Z
dc.date.available 2009-08-12T03:09:32Z
dc.date.copyright 2009
dc.date.issued 2009-08-12T03:09:32Z
dc.identifier.citation Hodneland, E., Bukoreshtliev, N. V., Eichler, T. W., Tai, X. C., Gurke, S., Lundervold, A., et al.(2009). A unified framework for automated 3D whole cell segmentation of living cells and a comprehensive segmentation evaluation. IEEE Transactions on Medical Imaging, 28(5), 720-738.
dc.identifier.issn 0278-0062
dc.identifier.uri http://hdl.handle.net/10220/6055
dc.description.abstract This work presents a unified framework for whole cell segmentation of surface stained living cells from 3-D data sets of fluorescent images. Every step of the process is described, image acquisition, prefiltering, ridge enhancement, cell segmentation, and a segmentation evaluation. The segmentation results from two different automated approaches for segmentation are compared to manual segmentation of the same data using a rigorous evaluation scheme. This revealed that combination of the respective cell types with the most suitable microscopy method resulted in high success rates up to 97%. The described approach permits to automatically perform a statistical analysis of various parameters from living cells.
dc.format.extent 19 p.
dc.language.iso en
dc.relation.ispartofseries IEEE Transactions on Medical Imaging.
dc.rights IEEE Transactions on Medical Imaging © copyright 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. http://www.ieee.org/portal/site.
dc.subject DRNTU::Science::Mathematics::Applied mathematics.
dc.subject DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision.
dc.title A unified framework for automated 3D whole cell segmentation of living cells and a comprehensive segmentation
dc.type Journal Article
dc.contributor.school School of Physical and Mathematical Sciences
dc.identifier.openurl http://sfxna09.hosted.exlibrisgroup.com:3410/ntu/sfxlcl3?sid=metalib:EBSCO_APH&id=doi:&genre=&isbn=&issn=02780062&date=2009&volume=28&issue=5&spage=720&epage=738&aulast=Hodneland&aufirst=%20Erlend&auinit=&title=IEEE%20Transactions%20on%20Medical%20Imaging&atitle=A%20Unified%20Framework%20for%20Automated%203%2DD%20Segmentation%20of%20Surface%2DStained%20Living%20Cells%20and%20a%20Comprehensive%20Segmentation%20Evaluation%2E&sici
dc.identifier.doi http://dx.doi.org/10.1109/TMI.2008.2011522
dc.description.version Published version

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