Title :
Homologue classification of human chromosome images using an iterative centromere segmentation algorithm
Author :
Mousavi, Parvin ; Ward, Rabab K. ; Sameti, Mohammad ; Lansdorp, Peter M. ; Fels, Sidney S.
Author_Institution :
Dept. of Electr. Eng., British Columbia Univ., Vancouver, BC, Canada
Abstract :
Segmentation of centromeres is a major step towards classification of homologous chromosomes, which in turn, is essential to advanced studies of cancer genetics. This paper describes an iterative fuzzy algorithm, which successfully segments the centromeres of human chromosome images. The algorithm is based on assigning a fuzzy membership value to each pixel and iteratively updating an error function, Chromosome 22 is then used to verify the centromere segmentation method
Keywords :
bio-optics; biology computing; cancer; cellular biophysics; fluorescence; fuzzy set theory; genetics; gradient methods; image classification; image segmentation; medical image processing; optical microscopy; cancer genetics; error backpropagation; error function; fluorescence microscopy; fuzzy membership value; gradient descent method; homologue classification; human chromosome images; iterative centromere segmentation algorithm; iterative fuzzy algorithm; iteratively updating; Biological cells; Cancer; Fluorescence; Humans; Image databases; Image segmentation; Iterative algorithms; Microscopy; Presence network agents; Probes;
Conference_Titel :
Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-6465-1
DOI :
10.1109/IEMBS.2000.900522
