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2008 | 18 | 2 | 159-170
Tytuł artykułu

Segmentation of breast cancer fine needle biopsy cytological images

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper describes three cytological image segmentation methods. The analysis includes the watershed algorithm, active contouring and a cellular automata GrowCut method. One can also find here a description of image pre-processing, Hough transform based pre-segmentation and an automatic nuclei localization mechanism used in our approach. Preliminary experimental results collected on a benchmark database present the quality of the methods in the analyzed issue. The discussion of common errors and possible future problems summarizes the work and points out regions that need further research.
Rocznik
Tom
18
Numer
2
Strony
159-170
Opis fizyczny
Daty
wydano
2008
otrzymano
2007-06-16
poprawiono
2007-11-19
Twórcy
  • Institute of Control and Computation Engineering, University of Zielona Góra, ul. Podgórna 50, 65-246 Zielona Góra, Poland
autor
  • Institute of Control and Computation Engineering, University of Zielona Góra, ul. Podgórna 50, 65-246 Zielona Góra, Poland
  • Institute of Control and Computation Engineering, University of Zielona Góra, ul. Podgórna 50, 65-246 Zielona Góra, Poland
  • Institute of Control and Computation Engineering, University of Zielona Góra, ul. Podgórna 50, 65-246 Zielona Góra, Poland
Bibliografia
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  • Hrebień M., Nieczkowski T., Korbicz J. and Obuchowicz A. (2006). The Hough transform and the GrowCut method in segmentation of cytological images, Proceedings of the International Conference on Signal and Electronic Systems ICSES'06, Łódź, Poland, pp. 367-370.
  • Hrebień M. and Steć P. (2006). Fine needle biopsy material segmentation with Hough transform and active contouring technique, Journal of Medical Informatics and Technologies 10: 25-34, (in print).
  • Hrebień M., Korbicz J. and Obuchowicz A. (2007). Hough transform, (1+1) search strategy and watershed algorithm in segmentation of cytological images, Proceedings of the 5th International Conference on Computer Recognition Systems CORES'07, Springer, Wrocław, pp. 550-557.
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  • Marciniak A., Obuchowicz A., Monczak R. and Kołodziński M. (2005). Cytomorphometry of fine needle biopsy material from the breast cancer, Proceedings of the 4th International Conference on Computer Recognition Systems CORES'05, Springer, Rydzyna, Poland, pp. 603-609.
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  • Żorski W. (2000). Image Segmentation Methods Based on the Hough Transform, Studio GiZ, Warsaw, (in Polish).
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.bwnjournal-article-amcv18i2p159bwm
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