A hybrid method for automatic chromosome karyotyping

Abstract We present a method which automatically produces reliable statements about the quality of automatically generated chromosome classifications (karyotypes). Rejecting cells which our method labels as ‘bad’ or ‘medium’ we obtain extremely good karyotypes for the remaining set of cells. Moreover, for each classified cell we can identify chromosomes which are classified correctly with a high probability. Our approach may also be useful for other classification problems.