ArticleCytometry. Part B, Clinical cytometry2015
Computerized delineation of nuclei in liquid-based pap smears stained with immunohistochemical biomarkers.
Article in Cytometry. Part B, Clinical cytometry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed, 4 citations in OpenAlex.
- Rapid 3-D delineation of cell nuclei for high-content screening platforms.Computers in biology and medicine · 2016Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
backgroundInfection with high-risk human papillomaviruses (hrHPVs) is a frequent cause of cervical intraepithelial neoplasias and carcinomas. The recently developed p16/Ki67 dual stain of cytologic preparations possesses superior specificity over current HPV testing for detecting moderate- and high-grade dysplasias and can potentially be applied in routine cytology screening. Image analysis can possibly improve the efficiency of evaluating Papanicolaou (Pap) smears, if dual-stained nuclei are accurately localized and reliably distinguished from the background of other cells.
methodsHere, we describe a technique comprising color deconvolution, radial symmetry detector, and a superpixel-based segmentation for computerized delineation of nuclei in Pap smears stained with p16/Ki67.
resultsThe performance of the method was determined by the precision and recall in 99 images (n = 19,323 cells) and reached 0.952 and 0.958, respectively. The accuracy of delineation, assessed by the Jaccard index (n = 1,080 cells), was 0.794. In single cells the precision and recall was higher than in clumps (P = 0.005).
conclusionsIn summary, the new technique delineates large and small nuclei irrespectively of coloration with a significantly better performance than a method solely involving the radial symmetry detector. Therefore, it is suited to automatically define nuclear areas for quantification of nuclear biomarkers in smears.
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