A Fuzzy Logic Rule-Based System for Chromosome Recognition

Authors:
J. M. Keller;P. Gader;O. Sjahputera;C. W. Caldwell;H.-M. T. Huang
Affiliations:
-;-;-;-;-
Venue:
CBMS '95 Proceedings of the Eighth Annual IEEE Symposium on Computer-Based Medical Systems
Year:
1995

Citing 0
Cited 2

Recovery and visualization of 3D structure of chromosomes from tomographic reconstruction images

EURASIP Journal on Applied Signal Processing
Automated classification of metaphase chromosomes: Optimization of an adaptive computerized scheme

Journal of Biomedical Informatics

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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.