A fuzzy logic rule-based system for chromosome recognition

Author

Keller, James M. ; Gader, Paul ; Sjahputera, Ozy ; Caldwell, C. William ; Huang, Hui-Ming Tim

Author_Institution

Dept. of Electr. & Comput. Eng., Missouri Univ., Columbia, MO, USA

fYear

1995

fDate

9-10 Jun 1995

Firstpage

125

Lastpage

132

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

Keywords

cellular biophysics; fuzzy logic; image recognition; medical expert systems; medical image processing; uncertainty handling; chromosome categorisation; chromosome recognition; fuzzy logic rule-based system; karyotyping; medical image analysis; metaphase; similar chromosome classes; uncertainty; Automation; Biological cells; Biomedical imaging; Cells (biology); Fuzzy logic; Image analysis; Image recognition; Knowledge based systems; Uncertainty; Visualization;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer-Based Medical Systems, 1995., Proceedings of the Eighth IEEE Symposium on

Conference_Location

Lubbock, TX

Print_ISBN

0-8186-7117-3

Type

conf

DOI

10.1109/CBMS.1995.465438

Filename

465438