A Fuzzy Logic Rule-Based System for Chromosome Recognition

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http://doi.ieeecomputersociety.org/10.1109/CBMS.1995.465438

Eighth IEEE Symposium on Computer-Bas ...

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	ASCII Text	x
	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	x
	@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	x
	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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