Abstract
Projects related to clinical implementation of computerized image processing in cytology face a common problem of distinguishing between artifacts and the objects of interest which should be measured and analyzed. Secondary Screening Instruments are computerized devices used to detect possible presence of cancerous or precancerous cells and, independently or in collaboration with pathologist, select slides for additional manual review. In order to do the work efficiently they have to detect actual abnormalities distinguishing them from artifacts in the form of overlapping cells or nuclei. The paper reports a trial approach to perform this important discrimination.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
References
Ravishankar, A., Lohse, G.: Identifying high level features of texture perception. CVGIP: Graph. Models Image Process. 55(3), 218–233 (1993)
Haralick, R.M.: Statistical and Structural Approaches to Texture. In: van Leeuwen, J. (ed.) Computer Science Today. LNCS, vol. 1000, pp. 786–804. Springer, Heidelberg (1995)
Haralick, R.M., Shanmugam, K., Dinstein, I.: Textural Features for Image Classification. IEEE Transactions on Systems, Man and Cybernetics SMC-3(6), 610–620 (1973)
Harris, K.: (Rutgers University, USA), Heitler B. (University of St Andrews, UK), KlustaWin - A program for unsupervised classification of multidimensional continuous data, http://www.st-andrews.ac.uk/~wjh/klustawin/
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer International Publishing Switzerland
About this paper
Cite this paper
Piętka, B.D., Dulewicz, A. (2013). Detecting Overlapped Nuclei Regions in the Feulgen-Stained Cytological Smears. In: Burduk, R., Jackowski, K., Kurzynski, M., Wozniak, M., Zolnierek, A. (eds) Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013. Advances in Intelligent Systems and Computing, vol 226. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00969-8_61
Download citation
DOI: https://doi.org/10.1007/978-3-319-00969-8_61
Publisher Name: Springer, Heidelberg
Print ISBN: 978-3-319-00968-1
Online ISBN: 978-3-319-00969-8
eBook Packages: EngineeringEngineering (R0)