title: A comparison of some quick and simple threshold selection methods for stained cells.
abstract: The segmentation accuracy of four fast and simple gray-scale threshold selection methods were compared using a data base of stained cervical cell images. Some postprocessing was applied to the segmented images to increase the accuracy of the nuclear segmentation. The most accurate method correctly segmented the cytoplasm of 81% of the cell images and the nuclei of 78% of the cell images in the data base.
authors: British Columbia Cancer Research Center, Vancouver, Canada.
authors: C
authors: C
authors: MacAulay
authors: B
authors: B
authors: Palcic
mesh_terms: D000465:Algorithms; D002478:Cells, Cultured; D002584:Cervix Uteri / Q000166:cytology; D005260:Female; D006801:Humans; D013194:Staining and Labeling / Q000379:methods*