Abstract
Most of reports on computer supported cytological investigations focus on searching for objective, quantitative descriptors enabling an automated system to distinguish between “normal” and “pathological” objects, usually cells or their organelles. A great number of sophisticated tools have been developed and reported. However, few reports may be found concerning the problem of detecting artefacts in cytological smears and reducing their influence on the overall system performance. On the other hand, the problem is crucial for the whole system setup and if not properly solved may spoil any attempts to implement the system in practice. The paper addresses this neglected problem trying to point out some general rules and procedures that should be followed to reject artefacts from automatic cytological analysis.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
References
I. Al and J.S. Ploem, 1979, ŞDetection of suspicious cells and rejection of artefacts in cervical cytology using the Leyden Television Analysis SystemŤ, Journal of Histochemistry and Cytochemistry, Volume 27, Issue 1, pp. 629–634
INTEL Corporation, 2004, ŞOpen Source Computer VisionLibrary-OpenCVŤ, http://www.intel.com/research/mrl/research/opencv/
Iwata, H. and Y. Ukai, 2004, ŞSHAPE: A computer program package for quantitative evaluation of biological shapes based on elliptic Fourier descriptorsŤ, Journal of Heredity, in press
Wallace, T. P. and Wintz, P. A., 1980, An Effcient Three-Dimensional Aircraft Recognition Algorithm Using Normalised Fourier DescriptorsŤ, Computer Graphics and Image Processing, Vol. 13, 99–106
Dulewicz A., Pietka D., Jaszczak P., Nechay A., Sawicki W., Ko?mi?ska E., Borkowski A., 1998, Computer Analysis of Epithelium Cell Nuclei of Urinary Bladder for Cancer DetectionŤ, VIII Mediterranean Conference on Medical and Biological Engineering & Computing. MEDICON Ś98, Proceedings of the conference, Limassol, 14–17, June
M. Sonka, V. Hlavac, R. Boyle, 1998, ŚImage Processing, Analysis and Machine VisionŤ, PWS Brooks & Cole Publishing
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Pietka, D., Dulewicz, A., Jaszczak, P. (2005). Removing Artefacts from Microscopic Images of Cytological Smears. A Shape-Based Approach. In: Kurzyński, M., Puchała, E., Woźniak, M., żołnierek, A. (eds) Computer Recognition Systems. Advances in Soft Computing, vol 30. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32390-2_78
Download citation
DOI: https://doi.org/10.1007/3-540-32390-2_78
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25054-8
Online ISBN: 978-3-540-32390-7
eBook Packages: EngineeringEngineering (R0)