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Soft Computing Algorithms Applied to the Segmentation of Nerve Cell Images
Towson University, Towson, Maryland, USA May 23-May 25
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SNPD-SAWN.2005.73Sixth International Conference on Sof ...
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Robert J. Schafer, Robert J. Hammell II, "Soft Computing Algorithms Applied to the Segmentation of Nerve Cell Images," Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, International Conference on & Self-Assembling Wireless Networks, International Workshop on, pp. 8-13, Sixth International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing and First ACIS International Workshop on Self-Assembling Wireless Networks (SNPD/SAWN'05), 2005.
 
 
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@article{ 10.1109/SNPD-SAWN.2005.73,
author = {Robert J. Schafer and Robert J. Hammell II},
title = {Soft Computing Algorithms Applied to the Segmentation of Nerve Cell Images},
journal ={Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, International Conference on & Self-Assembling Wireless Networks, International Workshop on},
volume = {0},
year = {2005},
isbn = {0-7695-2294-7},
pages = {8-13},
doi = {http://doi.ieeecomputersociety.org/10.1109/SNPD-SAWN.2005.73},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, International Conference on & Self-Assembling Wireless Networks, International Workshop on
TI - Soft Computing Algorithms Applied to the Segmentation of Nerve Cell Images
SN - 0-7695-2294-7
SP8
EP13
A1 - Robert J. Schafer,
A1 - Robert J. Hammell II,
PY - 2005
KW - null
VL - 0
JA - Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, International Conference on & Self-Assembling Wireless Networks, International Workshop on
ER -
 
Robert J. Schafer, Towson University
Robert J. Hammell II, Towson University
Microscopic images of stained nerve cells are routinely analyzed during neuropathological research. Manual analysis relies heavily on operator knowledge, and therefore can be highly subjective. The process is also time consuming. This paper investigates the use of Fuzzy C-Means to automate the analysis of nerve cell images. Using Fuzzy C-Means clustering, nerve cells are detected in an image. The nerve cells are then classified into degrees of health based upon their physical characteristics. A fuzzy approach is taken in order to account for vagueness in the data. This ambiguity stems from both the nature of digital images and the nature of biological systems.
Citation:
Robert J. Schafer, Robert J. Hammell II, "Soft Computing Algorithms Applied to the Segmentation of Nerve Cell Images," snpd-sawn, pp.8-13, Sixth International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing and First ACIS International Workshop on Self-Assembling Wireless Networks (SNPD/SAWN'05), 2005
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