Segmentation of Breast Cancer Fine Needle Biopsy Cytological Images

Authors:
Maciej Hrebień;Piotr Steć;Tomasz Nieczkowski;Andrzej Obuchowicz
Affiliations:
Institute of Control and Computation Engineering, Universityof Zielona Góra, ul. Podgórna 50, 65-246 Zielona Góra, Poland;Institute of Control and Computation Engineering, Universityof Zielona Góra, ul. Podgórna 50, 65-246 Zielona Góra, Poland;Institute of Control and Computation Engineering, Universityof Zielona Góra, ul. Podgórna 50, 65-246 Zielona Góra, Poland;Institute of Control and Computation Engineering, Universityof Zielona Góra, ul. Podgórna 50, 65-246 Zielona Góra, Poland
Venue:
International Journal of Applied Mathematics and Computer Science - Special Section: Selected Topics in Biological Cybernetics, Special Editors: Andrzej Kasiński and Filip Ponulak
Year:
2008

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Abstract

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.