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Proceedings Eighth IEEE Symposium on Computer-Based Medical Systems (1995)
Lubbock, Texas
June 9, 1995 to June 10, 1995
ISBN: 0-8186-7117-3
pp: 0125
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
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. Keller, O. Sjahputera, H. Huang, C. Caldwell and P. Gader, "A Fuzzy Logic Rule-Based System for Chromosome Recognition," Proceedings Eighth IEEE Symposium on Computer-Based Medical Systems(CBMS), Lubbock, Texas, 1995, pp. 0125.
doi:10.1109/CBMS.1995.465438
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