Abstract
An image analysis program for automated screening of entire Papanicolaou stained slides, using a television based analysis system (LEYTAS), is described. A series of 45 specimens has been screened to test this program, that consists principally of nuclear contour finding, size and thresholding operations on the nucleus and artefact rejection procedures, using image transformations. The significance of the total number of alarms and the number of detected nuclei per 10.000 epithelial cells as discriminatory factors is discussed with regard to future improvements and developments.
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Ploem, J.S., Van Driel-Kulker, A.M.J. (1982). Automated Analysis of Papanicolaou Stained Cervical Specimens Using a Television-Based Analysis System (Leytas). In: Sklansky, J., Bisconte, JC. (eds) Biomedical Images and Computers. Lecture Notes in Medical Informatics, vol 17. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-93218-2_2
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DOI: https://doi.org/10.1007/978-3-642-93218-2_2
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