dc.contributor.authorErlend, Hodneland
dc.contributor.authorNickolay V., Bukoreshtliev
dc.contributor.authorTilo W., Eichler
dc.contributor.authorTai, Xue Cheng
dc.contributor.authorSteffen, Gurke
dc.contributor.authorArvid, Lundervold
dc.contributor.authorHans-Hermann, Gerdes
dc.date.accessioned2009-08-12T03:09:32Z
dc.date.available2009-08-12T03:09:32Z
dc.date.copyright2009en_US
dc.date.issued2009
dc.identifier.citationHodneland, 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.en_US
dc.identifier.issn0278-0062en_US
dc.identifier.urihttp://hdl.handle.net/10220/6055
dc.description.abstractThis 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.en_US
dc.format.extent19 p.en_US
dc.language.isoenen_US
dc.relation.ispartofseriesIEEE Transactions on Medical Imaging.en_US
dc.rightsIEEE 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.en_US
dc.subjectDRNTU::Science::Mathematics::Applied mathematics
dc.subjectDRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
dc.titleA unified framework for automated 3D whole cell segmentation of living cells and a comprehensive segmentationen_US
dc.typeJournal Article
dc.contributor.schoolSchool of Physical and Mathematical Sciencesen_US
dc.identifier.openurlhttp://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.doihttp://dx.doi.org/10.1109/TMI.2008.2011522
dc.description.versionPublished versionen_US


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