Interphase cells removal from metaphase chromosome images based on meta-heuristic grey wolf optimizer

Citation:
Sayed, G. I., and A. E. Hassanien, "Interphase cells removal from metaphase chromosome images based on meta-heuristic grey wolf optimizer", IEEE iInternational Computer Engineering Conference - ICENCO , Cairo, 30 Dec, 2015.

Date Presented:

30 Dec

Interphase cells are undivided and the condensed
mass of chromosomes. They can highly decrease the efficiency
of automatic karyotype. Karyotype is a test that is used to
examine chromosomes. This test includes counting the number of
chromosomes and finding the structural changes in chromosomes.
Removal of these interphase cells is challenging task, because
of color similarity between interphase cells, chromosomes and
parts of the background. In this paper, a new fully automatic
approach based on fast fuzzy c-means (FFCM) and grey wolf
optimization (GWO) has been presented. The proposed approach
is used to remove interphase cells and extract chromosomes from
metaphase chromosomes image. It comprised of three phases,
namely; preprocessing, chromosomes image clustering and postprocessing
phase. The obtained results show a good performance
of the proposed approach. It obtains overall 94% accuracy.

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