Segmentation of breast cancer fine needle biopsy cytological images

• Autorzy: Maciej Hrebień , Piotr Steć , Tomasz Nieczkowski , Andrzej Obuchowicz
• 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.

Słowa kluczowe

EN

cytological image segmentation; Hough transform; watershed algorithm; active contours; cellular automata GrowCut method

• Wydawca: University of Zielona Gora Press
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2008
• Tom: 18
• Numer: 2
• Strony: 159-170

Daty

wydano

2008

otrzymano

2007-06-16

poprawiono

2007-11-19

Twórcy

autor

Maciej Hrebień

• Institute of Control and Computation Engineering, University of Zielona Góra, ul. Podgórna 50, 65-246 Zielona Góra, Poland

autor

Piotr Steć

• Institute of Control and Computation Engineering, University of Zielona Góra, ul. Podgórna 50, 65-246 Zielona Góra, Poland

autor

Tomasz Nieczkowski

• Institute of Control and Computation Engineering, University of Zielona Góra, ul. Podgórna 50, 65-246 Zielona Góra, Poland

autor

Andrzej Obuchowicz

• Institute of Control and Computation Engineering, University of Zielona Góra, ul. Podgórna 50, 65-246 Zielona Góra, Poland

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Identyfikatory

DOI

10.2478/v10006-008-0015-x