Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/91402
Title: A unified framework for automated 3D whole cell segmentation of living cells and a comprehensive segmentation
Authors: Erlend, Hodneland
Nickolay V., Bukoreshtliev
Tilo W., Eichler
Tai, Xue Cheng
Steffen, Gurke
Arvid, Lundervold
Hans-Hermann, Gerdes
Keywords: DRNTU::Science::Mathematics::Applied mathematics
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Issue Date: 2009
Source: 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.
Series/Report no.: IEEE Transactions on Medical Imaging.
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.
URI: https://hdl.handle.net/10356/91402
http://hdl.handle.net/10220/6055
ISSN: 0278-0062
DOI: 10.1109/TMI.2008.2011522
Schools: School of Physical and Mathematical Sciences 
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.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SPMS Journal Articles

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