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Eighth IEEE Symposium on Computer-Based Medical Systems (CBMS'95)
A Fuzzy Logic Rule-Based System for Chromosome Recognition
Lubbock, Texas
June 09-June 10
ISBN: 0-8186-7117-3
ASCII Text
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J.M. Keller, P. Gader, O. Sjahputera, C.W. Caldwell, H.-M.T. Huang, "A Fuzzy Logic Rule-Based System for Chromosome Recognition," Computer-Based Medical Systems, IEEE Symposium on, pp. 0125, Eighth IEEE Symposium on Computer-Based Medical Systems (CBMS'95), 1995.
 
 
BibTex
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@article{ 10.1109/CBMS.1995.465438,
author = {J.M. Keller and P. Gader and O. Sjahputera and C.W. Caldwell and H.-M.T. Huang},
title = {A Fuzzy Logic Rule-Based System for Chromosome Recognition},
journal ={Computer-Based Medical Systems, IEEE Symposium on},
volume = {0},
year = {1995},
isbn = {0-8186-7117-3},
pages = {0125},
doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.1995.465438},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computer-Based Medical Systems, IEEE Symposium on
TI - A Fuzzy Logic Rule-Based System for Chromosome Recognition
SN - 0-8186-7117-3
SP
EP
A1 - J.M. Keller,
A1 - P. Gader,
A1 - O. Sjahputera,
A1 - C.W. Caldwell,
A1 - H.-M.T. Huang,
PY - 1995
KW - fuzzy logic; medical expert systems; cellular biophysics; image recognition; medical image processing; uncertainty handling; fuzzy logic rule-based system; chromosome recognition; medical image analysis; metaphase; chromosome categorisation; karyotyping; uncertainty; similar chromosome classes
VL - 0
JA - Computer-Based Medical Systems, IEEE Symposium on
ER -
 
J.M. Keller, Dept. of Electr. & Comput. Eng., Missouri Univ., Columbia, MO, USA
P. Gader, Dept. of Electr. & Comput. Eng., Missouri Univ., Columbia, MO, USA
O. Sjahputera, Dept. of Electr. & Comput. Eng., Missouri Univ., Columbia, MO, USA
C.W. Caldwell, Dept. of Electr. & Comput. Eng., Missouri Univ., Columbia, MO, USA
H.-M.T. Huang, Dept. of Electr. & Comput. Eng., Missouri Univ., Columbia, MO, USA
Abstract: One of the longest standing problems in medical image analysis is that of the automated recognition of chromosomes from images of a metaphase spread of a cell. This process of visualizing and categorizing the chromosomes within a cell, called karyotyping, is a key factor in many medical procedures. It is a labor intensive activity, and hence, is a great candidate for automation. However, there are many sources of uncertainty in this problem domain, making complete karyotyping a difficult problem. We describe how fuzzy logic is being inserted into a complete karyotyping system to deal with uncertainty in similar chromosome classes.
Index Terms:
fuzzy logic; medical expert systems; cellular biophysics; image recognition; medical image processing; uncertainty handling; fuzzy logic rule-based system; chromosome recognition; medical image analysis; metaphase; chromosome categorisation; karyotyping; uncertainty; similar chromosome classes
Citation:
J.M. Keller, P. Gader, O. Sjahputera, C.W. Caldwell, H.-M.T. Huang, "A Fuzzy Logic Rule-Based System for Chromosome Recognition," cbms, pp.0125, Eighth IEEE Symposium on Computer-Based Medical Systems (CBMS'95), 1995
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