PMID: 11933016Apr 5, 2002Paper

Automated identification of diploid reference cells in cervical smears using image analysis

Cytometry
Jeroen A W M van der LaakAntonius G J M Hanselaar

Abstract

Acquisition of DNA ploidy histograms by image analysis may yield important information regarding the behavior of premalignant cervical lesions. Accurate selection of nuclei for DNA measurement is an important prerequisite for obtaining reliable data. Traditionally, manual selection of nuclei of diagnostic and reference cells is performed by an experienced cytotechnologist. In the present study, a method for the fully automated identification of nuclei of diploid epithelial reference cells in Feulgen- restained Papanicolaou (PAP) smears is described. The automated procedure consists of a decision tree implemented on the measurement device, containing nodes with feature threshold values and multivariate discriminant functions. Nodes were constructed to recognize debris and inflammatory cells, as well as diploid and nondiploid epithelial cells of the uterine cervix. Evaluation of the classifier was performed by comparing resulting diploid integrated optical densities with those from manually selected reference cells. On average, automatically acquired values deviated 2.4% from manually acquired values, indicating that the method described in this paper may be useful in cytometric practice.

References

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Citations

Mar 22, 2014·Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society·Ling ZhangSiping Chen
Oct 21, 2003·Cytometry. Part a : the Journal of the International Society for Analytical Cytology·Julien SavatierJ-M Salmon
Apr 2, 2004·Cytometry. Part a : the Journal of the International Society for Analytical Cytology·Andras LadanyiLan Bo Chen
Jan 1, 2014·Cytometry. Part a : the Journal of the International Society for Analytical Cytology·Ling ZhangSiping Chen
Oct 18, 2019·International Journal of Molecular Sciences·Teresa ConceiçãoMaria João M Vasconcelos

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