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Segmentation of breast cancer fine needle biopsy cytological images

Hrebień M., Steć P., Nieczkowski T., Obuchowicz A.

International Journal of Applied Mathematics and Computer Science

2008

Vol. 18, no 2

159-170

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.

Fine needle biopsy material segmentation with hough transform and active contouring technique

Hrebień M., Steć P.

Journal of Medical Informatics & Technologies

2006

Vol. 10

25--34

This paper describes a hybrid segmentation method of cytological images for their analysis by means of Hough transform and Active Contours methods. One also can find there a short description of image preprocessing that was recommended for preliminary experiments organisation. The results were collected by a specifically prepared benchmarking database.