Currently, cytogenetic analysis is done using semiautomatic methods, involving substantial human intervention, which is slow and expensive. Chromosome counting is of significant economical importance, for it accelerates the karyotyping process, thereby facilitating quicker and less expensive cytogenetic analysis. In this paper, we present an automated counting algorithm based on digital image analysis. The algorithm was tested on a metaphase image database, with a 6% error rate.
|Original language||English (US)|
|Number of pages||4|
|Journal||Proceedings - International Conference on Image Processing, ICIP|
|State||Published - 2004|
|Event||2004 International Conference on Image Processing, ICIP 2004 - , Singapore|
Duration: Oct 18 2004 → Oct 21 2004
ASJC Scopus subject areas